33rd AAAI 2019: Honolulu, Hawaii, USA

The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019. AAAI Press 2019, ISBN 978-1-57735-809-1
AAAI Technical Track: AI and the Web

Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. 3-11
Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. 12-19
Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie:
Comparative Document Summarisation via Classification. 20-28
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. 29-36
Jin Chen, Defu Lian, Kai Zheng:
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. 37-44
Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun:
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. 45-52
Xu Chen, Yongfeng Zhang, Zheng Qin:
Dynamic Explainable Recommendation Based on Neural Attentive Models. 53-60
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. 61-68
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. 69-76
Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers:
Triple Classification Using Regions and Fine-Grained Entity Typing. 77-85
Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. 86-93
Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li:
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems. 94-101
Xiaolong Gong, Linpeng Huang, Fuwei Wang:
Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content. 102-109
Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen:
Cooperative Multimodal Approach to Depression Detection in Twitter. 110-117
Jun Guo, Jiahui Ye:
Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering. 118-125
Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. 126-133
Shizhu He, Kang Liu, Weiting An:
Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. 134-141
Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer:
Exploiting Background Knowledge in Compact Answer Generation for Why-Questions. 142-151
Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang:
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. 152-159
Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty:
Incorporating Network Embedding into Markov Random Field for Better Community Detection. 160-167
Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan:
Crawling the Community Structure of Multiplex Networks. 168-175
Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. 176-183
Xiaoming Li, Hui Fang, Jie Zhang:
Supervised User Ranking in Signed Social Networks. 184-191
Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang:
Personalized Question Routing via Heterogeneous Network Embedding. 192-199
Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li:
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features. 200-207
Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi:
Discrete Social Recommendation. 208-215
Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi:
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. 216-223
Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. 224-231
Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin:
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. 232-240
Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma:
Unsupervised Neural Machine Translation with SMT as Posterior Regularization. 241-248
Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. 249-256
Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan:
Surveys without Questions: A Reinforcement Learning Approach. 257-264
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. 265-272
Xiaoxiao Sun, Liyi Chen, Jufeng Yang:
Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification. 273-280
Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome:
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. 281-288
Zhiwen Tang, Grace Hui Yang:
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval. 289-296
Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang:
Entity Alignment between Knowledge Graphs Using Attribute Embeddings. 297-304
Quoc-Tuan Truong, Hady W. Lauw:
VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis. 305-312
Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai:
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews. 313-320
Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Community Detection in Social Networks Considering Topic Correlations. 321-328
Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng:
Community Focusing: Yet Another Query-Dependent Community Detection. 329-337
Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. 338-345
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-Based Recommendation with Graph Neural Networks. 346-353
Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu:
CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting. 354-362
Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu:
Structured and Sparse Annotations for Image Emotion Distribution Learning. 363-370
Nan Xu, Wenji Mao, Guandan Chen:
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis. 371-378
Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang:
Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. 379-386
Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. 387-394
Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles:
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. 395-402
Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua:
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. 403-410
Qian Yu, Wai Lam:
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank. 411-418
Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. 419-426
Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang:
Text Assisted Insight Ranking Using Context-Aware Memory Network. 427-434
Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun:
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. 435-442
Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu:
Regularizing Neural Machine Translation by Target-Bidirectional Agreement. 443-450
Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu:
Addressing the Under-Translation Problem from the Entropy Perspective. 451-458
Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Robust Online Matching with User Arrival Distribution Drift. 459-466
AAAI Technical Track: AI for Social Impact

Sheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried:
Predicting Hurricane Trajectories Using a Recurrent Neural Network. 468-475
Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. 476-484
Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. 485-492
Di Chen, Carla P. Gomes:
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. 493-500
Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini:
Coverage Centrality Maximization in Undirected Networks. 501-508
Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Bayesian Fairness. 509-516
Wenzheng Feng, Jie Tang, Tracy Xiao Liu:
Understanding Dropouts in MOOCs. 517-524
Meir Friedenberg, Joseph Y. Halpern:
Blameworthiness in Multi-Agent Settings. 525-532
Serge Gaspers, Kamran Najeebullah:
Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length. 533-540
Partha Ghosh, Arpan Losalka, Michael J. Black:
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders. 541-548
Paul Gölz, Ariel D. Procaccia:
Migration as Submodular Optimization. 549-556
Tomer Golany, Kira Radinsky:
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. 557-564
Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone:
Selecting Compliant Agents for Opt-in Micro-Tolling. 565-572
Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel:
HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews. 573-581
Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao:
Learning Diffusions without Timestamps. 582-589
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. 590-597
Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao:
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. 598-605
Muhammad Raza Khan, Joshua E. Blumenstock:
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. 606-613
Arash Khodadadi, Daniel J. McDonald:
Algorithms for Estimating Trends in Global Temperature Volatility. 614-621
Amanda Kube, Sanmay Das, Patrick J. Fowler:
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. 622-629
Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan:
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. 630-638
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. 639-646
Mike Li, Elija Perrier, Chang Xu:
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. 647-654
Shuailong Liang, Olivia Nicol, Yue Zhang:
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. 655-662
Matt Olfat, Anil Aswani:
Convex Formulations for Fair Principal Component Analysis. 663-670
Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan:
Violence Rating Prediction from Movie Scripts. 671-678
Bowen Pan, Shangfei Wang, Qisheng Jiang:
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning. 679-686
Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal:
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education. 687-694
Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus:
Emergency Department Online Patient-Caregiver Scheduling. 695-701
Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski:
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. 702-709
Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh:
Learning to Address Health Inequality in the United States with a Bayesian Decision Network. 710-717
Jakub Sliwinski, Martin Strobel, Yair Zick:
Axiomatic Characterization of Data-Driven Influence Measures for Classification. 718-725
Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless:
Hotels-50K: A Global Hotel Recognition Dataset. 726-733
Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee:
A Study of Educational Data Mining: Evidence from a Thai University. 734-741
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. 742-749
Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. 750-757
Chaokun Wang, Junchao Zhu:
Forbidden Nodes Aware Community Search. 758-765
Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. 766-773
Fan Wu, Lixia Wu:
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System. 774-781
Mike Wu, Milan Mosse, Noah Goodman, Chris Piech:
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. 782-790
Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung:
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder. 791-800
Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai:
EnsNet: Ensconce Text in the Wild. 801-808
Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li:
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. 809-816
Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. 817-824
Ruobing Zheng, Ze Luo, Baoping Yan:
Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. 825-832
AAAI Technical Track: Applications

Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. 834-841
Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright:
Beyond Speech: Generalizing D-Vectors for Biometric Verification. 842-849
Gissella Bejarano, David DeFazio, Arti Ramesh:
Deep Latent Generative Models for Energy Disaggregation. 850-857
Fiammetta Caccavale, Anders Søgaard:
Predicting Concrete and Abstract Entities in Modern Poetry. 858-864
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. 865-872
Lisi Chen, Shuo Shang:
Region-Based Message Exploration over Spatio-Temporal Data Streams. 873-880
Michael Dann, Fabio Zambetta, John Thangarajah:
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. 881-889
Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He:
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. 890-897
Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu:
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation. 898-905
Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li:
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. 906-913
Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri:
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. 914-921
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan:
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. 922-929
Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. 930-937
Yu Hao, Xien Liu, Ji Wu, Ping Lv:
Exploiting Sentence Embedding for Medical Question Answering. 938-945
Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. 946-953
Shiyu Huang, Hang Su, Jun Zhu, Ting Chen:
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks. 954-961
Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang:
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks. 962-969
Jan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An:
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. 970-977
Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh:
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator. 978-985
John Krumm, Eric Horvitz:
Traffic Updates: Saying a Lot While Revealing a Little. 986-995
Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li:
Adversarial Learning for Weakly-Supervised Social Network Alignment. 996-1003
Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao:
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction. 1004-1011
Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang:
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. 1012-1019
Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin:
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. 1020-1027
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao:
Perceptual-Sensitive GAN for Generating Adversarial Patches. 1028-1035
Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong:
Joint Representation Learning for Multi-Modal Transportation Recommendation. 1036-1043
Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu:
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing. 1044-1051
Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. 1052-1060
Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su:
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer. 1061-1068
Tianle Ma, Aidong Zhang:
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction. 1069-1076
Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson:
Scalable Robust Kidney Exchange. 1077-1084
Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen:
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. 1085-1092
Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng:
Pathological Evidence Exploration in Deep Retinal Image Diagnosis. 1093-1101
Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky:
Building Causal Graphs from Medical Literature and Electronic Medical Records. 1102-1109
Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez:
NeVAE: A Deep Generative Model for Molecular Graphs. 1110-1117
Patrick Schwab, Walter Karlen:
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. 1118-1125
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. 1126-1133
Weiwei Shen, Bin Wang, Jian Pu, Jun Wang:
The Kelly Growth Optimal Portfolio with Ensemble Learning. 1134-1141
Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi:
Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis. 1142-1149
Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee:
Subtask Gated Networks for Non-Intrusive Load Monitoring. 1150-1157
Christopher Solinas, Douglas Rebstock, Michael Buro:
Improving Search with Supervised Learning in Trick-Based Card Games. 1158-1165
Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong:
Exploiting the Contagious Effect for Employee Turnover Prediction. 1166-1173
Bryan Wang, Yi-Hsuan Yang:
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network. 1174-1181
Di Wang, Jinhui Xu:
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View. 1182-1189
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. 1190-1197
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. 1198-1205
Bin Wu:
Hierarchical Macro Strategy Model for MOBA Game AI. 1206-1213
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun:
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. 1214-1221
I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei:
On Strength Adjustment for MCTS-Based Programs. 1222-1229
Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang:
A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes. 1230-1237
Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo:
TET-GAN: Text Effects Transfer via Stylization and Destylization. 1238-1245
Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. 1246-1253
Chi Zhang, Yixin Zhu, Song-Chun Zhu:
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer. 1254-1261
Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings:
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. 1262-1269
Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie:
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. 1270-1277
Panpan Zheng, Shuhan Yuan, Xintao Wu:
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. 1278-1285
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
One-Class Adversarial Nets for Fraud Detection. 1286-1293
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li:
DeepDPM: Dynamic Population Mapping via Deep Neural Network. 1294-1301
AAAI Technical Track: Cognitive Modeling

Xiaolin Wu, Xi Zhang, Xiao Shu:
Cognitive Deficit of Deep Learning in Numerosity. 1303-1310
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. 1311-1318
Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen:
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. 1319-1326
Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li:
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. 1327-1334
AAAI Technical Track: Cognitive Systems

Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus:
Human-Like Sketch Object Recognition via Analogical Learning. 1336-1343
Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning. 1344-1351
Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini:
Scalable Recollections for Continual Lifelong Learning. 1352-1359
Abhishek Sharma, Keith M. Goolsbey:
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases. 1360-1367
Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa:
Modelling Autobiographical Memory Loss across Life Span. 1368-1375
AAAI Technical Track: Computational Sustainability

Jiaxu Cui, Bo Yang, Xia Hu:
Deep Bayesian Optimization on Attributed Graphs. 1377-1384
Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee:
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. 1385-1392
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. 1393-1400
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. 1401-1408
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. 1409-1416
AAAI Technical Track: Constraint Satisfaction and Optimization

Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos:
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. 1418-1426
Daniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel:
Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation. 1427-1434
Curtis Bright, Dragomir Z. Ðokovic, Ilias Kotsireas, Vijay Ganesh:
A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples. 1435-1442
Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau:
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. 1443-1451
Alexander Diedrich, Alexander Maier, Oliver Niggemann:
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory. 1452-1459
Hu Ding, Mingquan Ye:
On Geometric Alignment in Low Doubling Dimension. 1460-1467
Aritra Dutta, Filip Hanzely, Peter Richtárik:
A Nonconvex Projection Method for Robust PCA. 1468-1476
Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak:
Solving Integer Quadratic Programming via Explicit and Structural Restrictions. 1477-1484
Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi:
Stochastic Submodular Maximization with Performance-Dependent Item Costs. 1485-1494
Amin Hosseininasab, Willem-Jan van Hoeve, André A. Ciré:
Constraint-Based Sequential Pattern Mining with Decision Diagrams. 1495-1502
Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. 1503-1510
Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva:
Abduction-Based Explanations for Machine Learning Models. 1511-1519
Yoichi Iwata, Takuto Shigemura:
Separator-Based Pruned Dynamic Programming for Steiner Tree. 1520-1527
Ehsan Kazemi, Liqiang Wang:
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. 1528-1535
Jean-Marie Lagniez, Pierre Marquis:
A Recursive Algorithm for Projected Model Counting. 1536-1543
Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling:
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. 1544-1551
Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng:
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. 1552-1559
Shengcai Liu, Ke Tang, Xin Yao:
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. 1560-1567
Igor Molybog, Javad Lavaei:
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem. 1568-1575
Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari:
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets. 1576-1583
Christoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst:
A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving. 1584-1591
Mate Soos, Kuldeep S. Meel:
BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting. 1592-1599
Sabine Storandt, Stefan Funke:
Algorithms for Average Regret Minimization. 1600-1607
Miguel Terra-Neves, Nuno Machado, Inês Lynce, Vasco M. Manquinho:
Concurrency Debugging with MaxSMT. 1608-1616
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh:
Bayesian Functional Optimisation with Shape Prior. 1617-1624
Sicco Verwer, Yingqian Zhang:
Learning Optimal Classification Trees Using a Binary Linear Program Formulation. 1625-1632
Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong:
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems. 1633-1640
Po-Wei Wang, J. Zico Kolter:
Low-Rank Semidefinite Programming for the MAX2SAT Problem. 1641-1649
Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song:
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization. 1650-1657
Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. 1658-1665
Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden:
Adding Constraints to Bayesian Inverse Problems. 1666-1673
Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Yang Richard Yang:
Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface. 1674-1681
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. 1682-1689
AAAI Technical Track: Game Playing and Interactive Entertainment

Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. 1691-1698
Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykula:
Regular Boardgames. 1699-1706
Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu:
3D Face Synthesis Driven by Personality Impression. 1707-1714
Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan:
Learning to Write Stories with Thematic Consistency and Wording Novelty. 1715-1722
AAAI Technical Track: Game Theory and Economic Paradigms

Colleen Alkalay-Houlihan, Nisarg Shah:
The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining. 1724-1731
Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi:
Fair Division with a Secretive Agent. 1732-1739
Haris Aziz, Péter Biró, Ronald de Haan, Baharak Rastegari:
Pareto Optimal Allocation under Compact Uncertain Preferences. 1740-1747
Siddharth Barman, Sanath Kumar Krishnamurthy:
On the Proximity of Markets with Integral Equilibria. 1748-1755
Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo:
Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity. 1756-1763
Dorothea Baumeister, Tobias Hogrebe, Lisa Rey:
Generalized Distance Bribery. 1764-1771
Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz:
From Recommendation Systems to Facility Location Games. 1772-1779
Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
Convergence of Learning Dynamics in Information Retrieval Games. 1780-1787
Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao:
Low-Distortion Social Welfare Functions. 1788-1795
Daan Bloembergen, Davide Grossi, Martin Lackner:
On Rational Delegations in Liquid Democracy. 1796-1803
Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway:
Primarily about Primaries. 1804-1811
Simina Brânzei, Aris Filos-Ratsikas:
Walrasian Dynamics in Multi-Unit Markets. 1812-1819
Gianluca Brero, Sébastien Lahaie, Sven Seuken:
Fast Iterative Combinatorial Auctions via Bayesian Learning. 1820-1828
Noam Brown, Tuomas Sandholm:
Solving Imperfect-Information Games via Discounted Regret Minimization. 1829-1836
Sofia Ceppi, Ian A. Kash, Rafael M. Frongillo:
Partial Verification as a Substitute for Money. 1837-1844
Yiling Chen, Yang Liu, Juntao Wang:
Randomized Wagering Mechanisms. 1845-1852
Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan:
Group Fairness for the Allocation of Indivisible Goods. 1853-1860
Trevor Davis, Kevin Waugh, Michael Bowling:
Solving Large Extensive-Form Games with Strategy Constraints. 1861-1868
Ilias Diakonikolas, Chrystalla Pavlou:
On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games. 1869-1876
John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu:
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity. 1877-1884
Hossein Esfandiari, Mohammad Taghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher:
Online Pandora's Boxes and Bandits. 1885-1892
Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu:
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. 1893-1900
Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat:
Approximation and Hardness of Shift-Bribery. 1901-1908
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanislaw Szufa, Nimrod Talmon:
How Similar Are Two Elections? 1909-1916
Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. 1917-1925
Michail Fasoulakis, Evangelos Markakis:
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria. 1926-1932
Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez:
Very Hard Electoral Control Problems. 1933-1940
Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker:
Fair Knapsack. 1941-1948
Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata:
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. 1949-1956
Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan:
An Equivalence between Wagering and Fair-Division Mechanisms. 1957-1964
Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker:
Fair and Efficient Memory Sharing: Confronting Free Riders. 1965-1972
Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik:
Multi-Unit Bilateral Trade. 1973-1980
Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin:
On the Distortion Value of the Elections with Abstention. 1981-1988
Gagan Goel, Vahab S. Mirrokni, Renato Paes Leme:
Pareto Efficient Auctions with Interest Rates. 1989-1995
Naman Goel, Boi Faltings:
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. 1996-2003
Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi:
You Get What You Share: Incentives for a Sharing Economy. 2004-2011
Joachim Gudmundsson, Sampson Wong:
Computing the Yolk in Spatial Voting Games without Computing Median Lines. 2012-2019
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. 2020-2028
Karel Horák, Branislav Bosanský:
Solving Partially Observable Stochastic Games with Public Observations. 2029-2036
Sen Huang, Mingyu Xiao:
Object Reachability via Swaps along a Line. 2037-2044
Ayumi Igarashi, Dominik Peters:
Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints. 2045-2052
Ayumi Igarashi, Jakub Sliwinski, Yair Zick:
Forming Probably Stable Communities with Limited Interactions. 2053-2060
Batya Kenig, Benny Kimelfeld:
Approximate Inference of Outcomes in Probabilistic Elections. 2061-2068
Omer Lev, Yoad Lewenberg:
"Reverse Gerrymandering": Manipulation in Multi-Group Decision Making. 2069-2076
Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov:
Heuristic Voting as Ordinal Dominance Strategies. 2077-2084
Kai Li, Dong Hao:
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games. 2085-2092
Zhuoshu Li, Sanmay Das:
Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions. 2093-2100
Ilan Lobel, Renato Paes Leme:
Dynamic Contracting under Positive Commitment. 2101-2108
Pasin Manurangsi, Warut Suksompong:
When Do Envy-Free Allocations Exist? 2109-2116
Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm:
Quasi-Perfect Stackelberg Equilibrium. 2117-2124
Vahab S. Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo:
Optimal Dynamic Auctions Are Virtual Welfare Maximizers. 2125-2132
Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman:
Deception in Finitely Repeated Security Games. 2133-2140
Hoon Oh, Ariel D. Procaccia, Warut Suksompong:
Fairly Allocating Many Goods with Few Queries. 2141-2148
Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo:
Learning Optimal Strategies to Commit To. 2149-2156
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling:
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. 2157-2164
Sujoy Sikdar, Sibel Adali, Lirong Xia:
Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles. 2165-2172
Samuel Sokota, Caleb Ho, Bryce Wiedenbeck:
Learning Deviation Payoffs in Simulation-Based Games. 2173-2180
Nimrod Talmon, Piotr Faliszewski:
A Framework for Approval-Based Budgeting Methods. 2181-2188
Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia:
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. 2189-2196
Tomasz Was, Talal Rahwan, Oskar Skibski:
Random Walk Decay Centrality. 2197-2204
Anaëlle Wilczynski:
Poll-Confident Voters in Iterative Voting. 2205-2212
Bryan Wilder, Yevgeniy Vorobeychik:
Defending Elections against Malicious Spread of Misinformation. 2213-2220
Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas:
A Unified Approach to Online Matching with Conflict-Aware Constraints. 2221-2228
Hanrui Zhang, Yu Cheng, Vincent Conitzer:
A Better Algorithm for Societal Tradeoffs. 2229-2236
Hanrui Zhang, Vincent Conitzer:
A PAC Framework for Aggregating Agents' Judgments. 2237-2244
Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng:
Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach. 2245-2252
Tianhang Zheng, Changyou Chen, Kui Ren:
Distributionally Adversarial Attack. 2253-2260
AAAI Technical Track: Heuristic Search and Optimization

Junwen Ding, Zhipeng Lü, Chu-Min Li, Liji Shen, Liping Xu, Fred W. Glover:
A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem. 2262-2271
Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger:
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints. 2272-2279
Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer:
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction. 2280-2287
Robert C. Holte, Sandra Zilles:
On the Optimal Efficiency of Cost-Algebraic A. 2288-2295
Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He:
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem. 2296-2303
Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama:
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. 2304-2313
Juho Lauri, Sourav Dutta:
Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems. 2314-2321
Andrei Lissovoi, Pietro Simone Oliveto, John Alasdair Warwicker:
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. 2322-2329
Julian R. H. Mariño, Rubens O. Moraes, Cláudio Toledo, Levi H. S. Lelis:
Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games. 2330-2337
Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jörg Hoffmann, Marek Petrik:
Real-Time Planning as Decision-Making under Uncertainty. 2338-2345
Frank Neumann, Andrew M. Sutton:
Evolving Solutions to Community-Structured Satisfiability Formulas. 2346-2353
Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich:
Pareto Optimization for Subset Selection with Dynamic Cost Constraints. 2354-2361
Christopher D. Rosin:
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs. 2362-2370
Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony:
Allocating Planning Effort When Actions Expire. 2371-2378
Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun:
Enriching Non-Parametric Bidirectional Search Algorithms. 2379-2386
Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo:
Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems. 2387-2394
Thomas Weise, Zijun Wu, Markus Wagner:
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search. 2395-2402
Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang:
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization. 2403-2410
AAAI Technical Track: Human-AI Collaboration

Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller:
One-Network Adversarial Fairness. 2412-2420
Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang:
Making Money from What You Know - How to Sell Information? 2421-2428
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. 2429-2437
Alvaro H. C. Correia, Freddy Lécué:
Human-in-the-Loop Feature Selection. 2438-2445
Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall:
Verifying Robustness of Gradient Boosted Models. 2446-2453
Andrew Forney, Elias Bareinboim:
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding. 2454-2461
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. 2462-2470
Mingxuan Jing, Xiaojian Ma, Wen-bing Huang, Fuchun Sun, Huaping Liu:
Task Transfer by Preference-Based Cost Learning. 2471-2478
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
A Unified Framework for Planning in Adversarial and Cooperative Environments. 2479-2487
Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao:
RGBD Based Gaze Estimation via Multi-Task CNN. 2488-2495
Yuzuru Okajima, Kunihiko Sadamasa:
Deep Neural Networks Constrained by Decision Rules. 2496-2505
Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He:
Geometry-Aware Face Completion and Editing. 2506-2513
Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. 2514-2521
Vaibhav V. Unhelkar, Julie A. Shah:
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. 2522-2530
Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib:
Augmenting Markov Decision Processes with Advising. 2531-2538
Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. 2539-2546
Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. 2547-2554
AAAI Technical Track: Humans and AI

Abhay M. S. Aradhya, Aditya Joglekar, Sundaram Suresh, Mahardhika Pratama:
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. 2556-2563
Nan Cao, Xin Yan, Yang Shi, Chaoran Chen:
AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches. 2564-2571
Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi:
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm. 2572-2579
Xiao Guo, Jongmoo Choi:
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies. 2580-2587
Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann:
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading. 2588-2595
Keting Lu, Shiqi Zhang, Xiaoping Chen:
Goal-Oriented Dialogue Policy Learning from Failures. 2596-2603
Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis:
Be Inaccurate but Don't Be Indecisive: How Error Distribution Can Affect User Experience. 2604-2611
Hermann Schichl, Meinolf Sellmann:
Consensual Affine Transformations for Partial Valuation Aggregation. 2612-2619
Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer:
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. 2620-2627
AAAI Technical Track: Human-Computation and Crowd Sourcing

Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng:
Preference-Aware Task Assignment in Spatial Crowdsourcing. 2629-2636
AAAI Technical Track: Knowledge Representation and Reasoning

Erman Acar, Massimo Benerecetti, Fabio Mogavero:
Satisfiability in Strategy Logic Can Be Easier than Model Checking. 2638-2645
Natasha Alechina, Tomás Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi:
Unbounded Orchestrations of Transducers for Manufacturing. 2646-2653
Medina Andresel, Yazmin Ibáñez-García, Magdalena Ortiz, Mantas Simkus:
Relaxing and Restraining Queries for OBDA. 2654-2661
Alexander Bagnall, Gordon Stewart:
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees. 2662-2669
Ringo Baumann, Gerhard Brewka:
Extension Removal in Abstract Argumentation - An Axiomatic Approach. 2670-2677
Sander Beckers, Joseph Y. Halpern:
Abstracting Causal Models. 2678-2685
Bart Bogaerts:
Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory. 2686-2693
Jori Bomanson, Tomi Janhunen, Antonius Weinzierl:
Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming. 2694-2702
Blai Bonet, Guillem Francès, Hector Geffner:
Learning Features and Abstract Actions for Computing Generalized Plans. 2703-2710
Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. 2711-2718
Camille Bourgaux, Ana Ozaki:
Querying Attributed DL-Lite Ontologies Using Provenance Semirings. 2719-2726
Andreas Bunte, Benno Stein, Oliver Niggemann:
Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. 2727-2735
David Carral, Larry González, Patrick Koopmann:
From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment. 2736-2743
Juan D. Correa, Jin Tian, Elias Bareinboim:
Identification of Causal Effects in the Presence of Selection Bias. 2744-2751
Kristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni:
Argumentation for Explainable Scheduling. 2752-2759
Daniel de Leng, Fredrik Heintz:
Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty. 2760-2767
Warren Del-Pinto, Renate A. Schmidt:
ABox Abduction via Forgetting in ALC. 2768-2775
Heshan Du, Natasha Alechina:
Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable. 2776-2783
Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng:
Validation of Growing Knowledge Graphs by Abductive Text Evidences. 2784-2791
Phan Minh Dung, Phan Minh Thang, Tran Cao Son:
On Structured Argumentation with Conditional Preferences. 2792-2800
Wolfgang Dvorák, Stefan Woltran:
Complexity of Abstract Argumentation under a Claim-Centric View. 2801-2808
Wolfgang Faber, Michael Morak, Stefan Woltran:
Strong Equivalence for Epistemic Logic Programs Made Easy. 2809-2816
Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen:
Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability. 2817-2826
Johannes Klaus Fichte, Markus Hecher, Arne Meier:
Counting Complexity for Reasoning in Abstract Argumentation. 2827-2834
Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. 2835-2842
Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran:
Forgetting in Modular Answer Set Programming. 2843-2850
Joseph Y. Halpern, Evan Piermont:
Partial Awareness. 2851-2858
Pan Hu, Boris Motik, Ian Horrocks:
Modular Materialisation of Datalog Programs. 2859-2866
Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei:
Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. 2867-2875
Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar:
Minimum Intervention Cover of a Causal Graph. 2876-2885
Phokion G. Kolaitis, Lucian Popa, Kun Qian:
Knowledge Refinement via Rule Selection. 2886-2894
Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng:
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. 2895-2902
Patrick Koopmann:
Ontology-Based Query Answering for Probabilistic Temporal Data. 2903-2910
Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky:
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise. 2911-2918
Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
Representing and Learning Grammars in Answer Set Programming. 2919-2928
Tiep Le, Tran Cao Son, Enrico Pontelli:
Multi-Context System for Optimization Problems. 2929-2937
Tuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo:
Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings. 2938-2945
Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi:
SAT-Based Explicit LTLf Satisfiability Checking. 2946-2953
Zi Lin, Yang Liu:
Implanting Rational Knowledge into Distributed Representation at Morpheme Level. 2954-2961
Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. 2962-2969
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. 2970-2977
Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao:
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. 2978-2985
Takanori Maehara, Yuma Inoue:
Group Decision Diagram (GDD): A Compact Representation for Permutations. 2986-2994
Stephanie McIntyre, Alexander Borgida, David Toman, Grant E. Weddell:
On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics. 2995-3002
Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. 3003-3010
Pavel Naumov, Jia Tao:
Blameworthiness in Strategic Games. 3011-3018
Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann:
Belief Change and Non-Monotonic Reasoning Sans Compactness. 3019-3026
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. 3027-3035
Md. Kamruzzaman Sarker, Pascal Hitzler:
Efficient Concept Induction for Description Logics. 3036-3043
Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait:
An Open-World Extension to Knowledge Graph Completion Models. 3044-3051
Farhad Shakerin, Gopal Gupta:
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME. 3052-3059
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. 3060-3067
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. 3068-3075
Marlo Souza, Álvaro F. Moreira, Renata Vieira:
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach. 3076-3083
Roni Stern, Brendan Juba:
Safe Partial Diagnosis from Normal Observations. 3084-3091
Przemyslaw Andrzej Walega, Mark Kaminski, Bernardo Cuenca Grau:
Reasoning over Streaming Data in Metric Temporal Datalog. 3092-3099
Jun Yuan, Neng Gao, Ji Xiang:
TransGate: Knowledge Graph Embedding with Shared Gate Structure. 3100-3107
Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang:
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test. 3108-3115
Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi:
Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach. 3116-3124
Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang:
On Completing Sparse Knowledge Base with Transitive Relation Embedding. 3125-3132
AAAI Technical Track: Machine Learning

David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong:
State Abstraction as Compression in Apprenticeship Learning. 3134-3142
Karim T. Abou-Moustafa, Csaba Szepesvári:
An Exponential Tail Bound for the Deleted Estimate. 3143-3150
Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki:
Model Learning for Look-Ahead Exploration in Continuous Control. 3151-3158
Rami Al-Rfou', Dokook Choe, Noah Constant, Mandy Guo, Llion Jones:
Character-Level Language Modeling with Deeper Self-Attention. 3159-3166
Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein:
Attacking Data Transforming Learners at Training Time. 3167-3174
Abdul Fatir Ansari, Harold Soh:
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. 3175-3182
Chidubem Arachie, Bert Huang:
Adversarial Label Learning. 3183-3190
Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu:
Robust Negative Sampling for Network Embedding. 3191-3198
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama:
Random Feature Maps for the Itemset Kernel. 3199-3206
Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer:
High Dimensional Clustering with r-nets. 3207-3214
Wissam J. Baddar, Yong Man Ro:
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition. 3215-3223
Christopher Bartley, Wei Liu, Mark Reynolds:
Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification. 3224-3231
Ege Beyazit, Jeevithan Alagurajah, Xindong Wu:
Online Learning from Data Streams with Varying Feature Spaces. 3232-3239
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. 3240-3247
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira:
Deep Convolutional Sum-Product Networks. 3248-3255
Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin:
FRAME Revisited: An Interpretation View Based on Particle Evolution. 3256-3263
Junyu Cao, Wei Sun:
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. 3264-3271
Miriam Cha, Youngjune L. Gwon, H. T. Kung:
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. 3272-3279
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio:
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. 3280-3287
Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. 3288-3295
Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin:
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation. 3296-3303
Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen:
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. 3304-3311
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. 3312-3320
Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. 3321-3328
Shangyu Chen, Wenya Wang, Sinno Jialin Pan:
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. 3329-3336
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang:
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. 3337-3346
Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. 3347-3354
Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu:
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks. 3355-3362
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. 3363-3370
Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu:
Tensor Decomposition for Multilayer Networks Clustering. 3371-3378
Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang:
Image Block Augmentation for One-Shot Learning. 3379-3386
Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick:
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. 3387-3395
Daeyoung Choi, Wonjong Rhee:
Utilizing Class Information for Deep Network Representation Shaping. 3396-3403
Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong:
Diverse Exploration via Conjugate Policies for Policy Gradient Methods. 3404-3411
Eric Crawford, Joelle Pineau:
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. 3412-3420
Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti:
Efficient Online Learning for Mapping Kernels on Linguistic Structures. 3421-3428
Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen:
Learning Segmentation Masks with the Independence Prior. 3429-3436
Sumanth Dathathri, Sicun Gao, Richard M. Murray:
Inverse Abstraction of Neural Networks Using Symbolic Interpolation. 3437-3444
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. 3445-3453
Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao:
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. 3454-3461
Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao:
Approximate Kernel Selection with Strong Approximate Consistency. 3462-3469
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
On-Line Adaptative Curriculum Learning for GANs. 3470-3477
Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan:
Multistream Classification with Relative Density Ratio Estimation. 3478-3485
Qi Dong, Xiatian Zhu, Shaogang Gong:
Single-Label Multi-Class Image Classification by Deep Logistic Regression. 3486-3493
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. 3494-3501
Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang:
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection. 3502-3509
Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. 3510-3517
Jun-Peng Fang, Min-Ling Zhang:
Partial Multi-Label Learning via Credible Label Elicitation. 3518-3525
Bahare Fatemi, Siamak Ravanbakhsh, David Poole:
Improved Knowledge Graph Embedding Using Background Taxonomic Information. 3526-3533
Chao Feng, Chao Qian, Ke Tang:
Unsupervised Feature Selection by Pareto Optimization. 3534-3541
Lei Feng, Bo An:
Partial Label Learning with Self-Guided Retraining. 3542-3549
Lei Feng, Bo An, Shuo He:
Collaboration Based Multi-Label Learning. 3550-3557
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao:
Hypergraph Neural Networks. 3558-3565
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Transductive Bounds for the Multi-Class Majority Vote Classifier. 3566-3573
Stanislav Fort, Adam Scherlis:
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes. 3574-3581
Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau:
Combined Reinforcement Learning via Abstract Representations. 3582-3589
Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda:
Efficient Data Point Pruning for One-Class SVM. 3590-3597
Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. 3598-3605
Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama:
Bayesian Posterior Approximation via Greedy Particle Optimization. 3606-3613
Jinyang Gao, Junjie Yao, Yingxia Shao:
Towards Reliable Learning for High Stakes Applications. 3614-3621
Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie:
Explainable Recommendation through Attentive Multi-View Learning. 3622-3629
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans:
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. 3630-3637
Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang:
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. 3638-3646
Carles Gelada, Marc G. Bellemare:
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift. 3647-3655
Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu:
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. 3656-3663
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang:
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. 3664-3671
Soheil Ghili, Ehsan Kazemi, Amin Karbasi:
Eliminating Latent Discrimination: Train Then Mask. 3672-3680
Amirata Ghorbani, Abubakar Abid, James Y. Zou:
Interpretation of Neural Networks Is Fragile. 3681-3688
Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider:
Using Benson's Algorithm for Regularization Parameter Tracking. 3689-3696
Bin Gu, Zhouyuan Huo, Heng Huang:
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. 3697-3704
Ning Gui, Danni Ge, Ziyin Hu:
AFS: An Attention-Based Mechanism for Supervised Feature Selection. 3705-3713
Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-of-Manifold Regularization. 3714-3722
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. 3723-3730
Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Smooth Deep Image Generator from Noises. 3731-3738
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. 3739-3746
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai:
Distributional Semantics Meets Multi-Label Learning. 3747-3754
Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer:
Temporal Anomaly Detection: Calibrating the Surprise. 3755-3762
Xiao He, Francesco Alesiani, Ammar Shaker:
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. 3763-3770
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. 3771-3778
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. 3779-3787
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik:
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. 3788-3795
Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt:
Multi-Task Deep Reinforcement Learning with PopArt. 3796-3803
Fuxing Hong, Dongbo Huang, Ge Chen:
Interaction-Aware Factorization Machines for Recommender Systems. 3804-3811
Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell:
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. 3812-3821
Hao Hu, Liqiang Wang, Guo-Jun Qi:
Learning to Adaptively Scale Recurrent Neural Networks. 3822-3829
Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan:
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. 3830-3837
Menglei Hu, Songcan Chen:
One-Pass Incomplete Multi-View Clustering. 3838-3845
Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai:
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. 3846-3853
Kun Huang, Bingbing Ni, Xiaokang Yang:
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations. 3854-3861
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. 3862-3869
Wenzhen Huang, Junge Zhang, Kaiqi Huang:
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. 3870-3877
Xiao Huang, Qingquan Song, Fan Yang, Xia Hu:
Large-Scale Heterogeneous Feature Embedding. 3878-3885
Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets. 3886-3893
Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang:
Inter-Class Angular Loss for Convolutional Neural Networks. 3894-3901
Tsuyoshi Idé:
Tensorial Change Analysis Using Probabilistic Tensor Regression. 3902-3909
Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai:
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. 3910-3918
Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada:
Estimating the Causal Effect from Partially Observed Time Series. 3919-3926
Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Constantine Bekas, Adelmo Cristiano Innocenza Malossi:
TAPAS: Train-Less Accuracy Predictor for Architecture Search. 3927-3934
Tomoharu Iwata, Hitoshi Shimizu:
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data. 3935-3942
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White:
Meta-Descent for Online, Continual Prediction. 3943-3950
Vinamra Jain, Prashant Doshi, Bikramjit Banerjee:
Model-Free IRL Using Maximum Likelihood Estimation. 3951-3958
Jaromír Janisch, Tomás Pevný, Viliam Lisý:
Classification with Costly Features Using Deep Reinforcement Learning. 3959-3966
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon:
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. 3967-3974
Bin-Bin Jia, Min-Ling Zhang:
Multi-Dimensional Classification via kNN Feature Augmentation. 3975-3982
Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen:
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. 3983-3990
Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri:
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel. 3991-3998
Heinrich Jiang:
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression. 3999-4006
Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang:
Gaussian-Induced Convolution for Graphs. 4007-4014
Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao:
SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks. 4015-4022
Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge:
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. 4023-4030
Sunghwan Joo, Sungmin Cha, Taesup Moon:
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. 4031-4038
Brendan Juba, Hai S. Le:
Precision-Recall versus Accuracy and the Role of Large Data Sets. 4039-4048
Ata Kabán:
Dimension-Free Error Bounds from Random Projections. 4049-4056
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu:
Similarity Learning via Kernel Preserving Embedding. 4057-4064
Rohit Keshari, Richa Singh, Mayank Vatsa:
Guided Dropout. 4065-4072
Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. 4073-4081
Matthew Klawonn, Eric Heim, James Hendler:
Exploiting Class Learnability in Noisy Data. 4082-4089
Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami:
Active Generative Adversarial Network for Image Classification. 4090-4097
Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor:
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. 4098-4105
Atsutoshi Kumagai, Tomoharu Iwata:
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations. 4106-4113
Richard Kurle, Stephan Günnemann, Patrick van der Smagt:
Multi-Source Neural Variational Inference. 4114-4121
Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama:
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy. 4122-4129
Yi-Yu Lai, Jennifer Neville, Dan Goldwasser:
TransConv: Relationship Embedding in Social Networks. 4130-4138
Liang Lan, Yu Geng:
Accurate and Interpretable Factorization Machines. 4139-4146
Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime G. Carbonell:
Gradient-Based Inference for Networks with Output Constraints. 4147-4154
Kyubin Lee, Akshay Sood, Mark Craven:
Understanding Learned Models by Identifying Important Features at the Right Resolution. 4155-4163
Sanghack Lee, Elias Bareinboim:
Structural Causal Bandits with Non-Manipulable Variables. 4164-4172
Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin:
Communication-Efficient Stochastic Gradient MCMC for Neural Networks. 4173-4180
Jia Li, Cong Fang, Zhouchen Lin:
Lifted Proximal Operator Machines. 4181-4188
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. 4189-4196
Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang:
X-DMM: Fast and Scalable Model Based Text Clustering. 4197-4204
Ping Li:
Sign-Full Random Projections. 4205-4212
Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart J. Russell:
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. 4213-4220
Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin:
Spectral Clustering in Heterogeneous Information Networks. 4221-4228
Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar:
Learning Adaptive Random Features. 4229-4236
Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu:
Towards Automated Semi-Supervised Learning. 4237-4244
Zejian Li, Yongchuan Tang, Wei Li, Yongxing He:
Learning Disentangled Representation with Pairwise Independence. 4245-4252
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li:
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. 4253-4260
Ziyao Li, Liang Zhang, Guojie Song:
SepNE: Bringing Separability to Network Embedding. 4261-4268
Shangsong Liang:
Collaborative, Dynamic and Diversified User Profiling. 4269-4276
Yitao Liang, Guy Van den Broeck:
Learning Logistic Circuits. 4277-4286
Siyu Liao, Bo Yuan:
CircConv: A Structured Convolution with Low Complexity. 4287-4294
Rung-Tzuo Liaw, Chuan-Kang Ting:
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis. 4295-4303
Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao:
Non-Compensatory Psychological Models for Recommender Systems. 4304-4311
Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. 4312-4319
Zhenhua Lin, Hongtu Zhu:
MFPCA: Multiscale Functional Principal Component Analysis. 4320-4327
Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia:
Learning Plackett-Luce Mixtures from Partial Preferences. 4328-4335
Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia:
Near-Neighbor Methods in Random Preference Completion. 4336-4343
Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu:
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently. 4344-4351
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Trust Region Evolution Strategies. 4352-4359
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Learning Multi-Task Communication with Message Passing for Sequence Learning. 4360-4367
Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo:
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. 4368-4375
Rui Liu, Tianyi Wu, Barzan Mozafari:
A Bandit Approach to Maximum Inner Product Search. 4376-4383
Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. 4384-4391
Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao:
Efficient and Effective Incomplete Multi-View Clustering. 4392-4399
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-Based Deep Cross-Modal Hashing. 4400-4407
Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang:
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. 4408-4415
Zhao-Yang Liu, Sheng-Jun Huang:
Active Sampling for Open-Set Classification without Initial Annotation. 4416-4423
Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. 4424-4431
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. 4432-4439
Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li:
Super Sparse Convolutional Neural Networks. 4440-4447
You Lu, Zhiyuan Liu, Bert Huang:
Block Belief Propagation for Parameter Learning in Markov Random Fields. 4448-4455
Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. 4456-4463
Chen Luo, Anshumali Shrivastava:
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS). 4464-4471
Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. 4472-4479
Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. 4480-4487
Simon Luo, Mahito Sugiyama:
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. 4488-4495
Siqiang Luo:
Distributed PageRank Computation: An Improved Theoretical Study. 4496-4503
Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro:
A Comparative Analysis of Expected and Distributional Reinforcement Learning. 4504-4511
Shuai Ma, Jia Yuan Yu:
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning. 4512-4519
Yuchao Ma, Hassan Ghasemzadeh:
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. 4520-4527
Kehelwala D. G. Maduranga, Kyle E. Helfrich, Qiang Ye:
Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform. 4528-4535
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody:
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure. 4536-4543
Maggie Makar, Adith Swaminathan, Emre Kiciman:
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. 4544-4551
André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista:
DyS: A Framework for Mixture Models in Quantification. 4552-4560
Raghuram Mandyam Annasamy, Katia P. Sycara:
Towards Better Interpretability in Deep Q-Networks. 4561-4569
Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li:
Cost-Sensitive Learning to Rank. 4570-4577
Shaobo Min, Xuejin Chen, Zheng-Jun Zha, Feng Wu, Yongdong Zhang:
A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels. 4578-4585
Di Ming, Chris Ding, Feiping Nie:
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. 4586-4593
Kohei Miyaguchi, Hiroshi Kajino:
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. 4594-4601
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. 4602-4609
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan:
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks. 4610-4617
So Nakashima, Takanori Maehara:
Subspace Selection via DR-Submodular Maximization on Lattices. 4618-4625
Hyoungwook Nam, Segwang Kim, Kyomin Jung:
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks. 4626-4633
Yusuke Narita, Shota Yasui, Kohei Yata:
Efficient Counterfactual Learning from Bandit Feedback. 4634-4641
Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu:
Multigrid Backprojection Super-Resolution and Deep Filter Visualization. 4642-4650
Alexander G. Ororbia II, Ankur Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. 4651-4658
Takayuki Osogami, Rudy Raymond:
Determinantal Reinforcement Learning. 4659-4666
Dipan K. Pal, Marios Savvides:
Non-Parametric Transformation Networks for Learning General Invariances from Data. 4667-4674
Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-Based Explorations. 4675-4682
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. 4683-4690
Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu:
On Reinforcement Learning for Full-Length Game of StarCraft. 4691-4698
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. 4699-4706
Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen:
Trainable Undersampling for Class-Imbalance Learning. 4707-4714
M. Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez:
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. 4715-4722
Mirko Polato, Fabio Aiolli:
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning. 4723-4730
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi:
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. 4731-4738
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. 4739-4746
You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu:
Composite Binary Decomposition Networks. 4747-4754
Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. 4755-4762
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. 4763-4771
Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh:
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. 4772-4779
Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le:
Regularized Evolution for Image Classifier Architecture Search. 4780-4789
Ievgen Redko, Charlotte Laclau:
On Fair Cost Sharing Games in Machine Learning. 4790-4797
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. 4798-4805
Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. 4806-4813
Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao:
Devil in the Details: Towards Accurate Single and Multiple Human Parsing. 4814-4821
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard:
Latent Multi-Task Architecture Learning. 4822-4829
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya:
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? 4830-4837
Tomoya Sakai, Nobuyuki Shimizu:
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data. 4838-4845
Patrick Schwab, Djordje Miladinovic, Walter Karlen:
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. 4846-4853
Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich:
Congestion Graphs for Automated Time Predictions. 4854-4861
Kristen A. Severson, Soumya Ghosh, Kenney Ng:
Unsupervised Learning with Contrastive Latent Variable Models. 4862-4869
Kulin Shah, Naresh Manwani:
Sparse Reject Option Classifier Using Successive Linear Programming. 4870-4877
Jin Shang, Mingxuan Sun:
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks. 4878-4885
Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. 4886-4893
Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang:
Multi-View Anomaly Detection: Neighborhood in Locality Matters. 4894-4901
Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng:
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. 4902-4909
Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo:
Automatic Code Review by Learning the Revision of Source Code. 4910-4917
Xiaofei Shi, David P. Woodruff:
Sublinear Time Numerical Linear Algebra for Structured Matrices. 4918-4925
Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan:
Label Embedding with Partial Heterogeneous Contexts. 4926-4933
David Shriver, Sebastian G. Elbaum, Matthew B. Dwyer, David S. Rosenblum:
Evaluating Recommender System Stability with Influence-Guided Fuzzing. 4934-4942
Hai Shu, Hongtu Zhu:
Sensitivity Analysis of Deep Neural Networks. 4943-4950
Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Transferable Curriculum for Weakly-Supervised Domain Adaptation. 4951-4958
Aditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou:
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents. 4959-4966
Thiago D. Simão, Matthijs T. J. Spaan:
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. 4967-4974
Christopher L. Simpkins, Charles L. Isbell Jr.:
Composable Modular Reinforcement Learning. 4975-4982
Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context Enabled Recurrent Neural Network for Recommendation. 4983-4991
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. 4992-4999
Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. 5000-5007
Kai Su, Xin Geng:
Soft Facial Landmark Detection by Label Distribution Learning. 5008-5015
Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin:
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. 5016-5023
Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao:
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}. 5024-5032
Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang:
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. 5033-5040
Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm:
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. 5041-5048
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Vine Copula Models for Synthetic Data Generation. 5049-5057
Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi:
Matrix Completion for Graph-Based Deep Semi-Supervised Learning. 5058-5065
Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi:
Variational Autoencoder with Implicit Optimal Priors. 5066-5073
Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-Gram Embeddings to Improve RNN Language Models. 5074-5082
Zhi-Hao Tan, Teng Zhang, Wei Wang:
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. 5083-5090
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda:
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. 5091-5099
Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang:
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. 5101-5108
Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu:
An Integral Tag Recommendation Model for Textual Content. 5109-5116
Ying-Peng Tang, Sheng-Jun Huang:
Self-Paced Active Learning: Query the Right Thing at the Right Time. 5117-5124
Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu:
A Radical-Aware Attention-Based Model for Chinese Text Classification. 5125-5132
Pooya Tavallali, Peyman Tavallali, Mukesh Singhal:
Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees. 5133-5142
Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh:
Holographic Factorization Machines for Recommendation. 5143-5150
Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama:
Clipped Matrix Completion: A Remedy for Ceiling Effects. 5151-5158
Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi:
A Non-Convex Optimization Approach to Correlation Clustering. 5159-5166
Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan:
Learning Competitive and Discriminative Reconstructions for Anomaly Detection. 5167-5174
Saket Tiwari, Philip S. Thomas:
Natural Option Critic. 5175-5182
Christopher Tran, Elena Zheleva:
Learning Triggers for Heterogeneous Treatment Effects. 5183-5190
Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Improving GAN with Neighbors Embedding and Gradient Matching. 5191-5198
Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li:
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. 5199-5206
Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera:
Automatic Bayesian Density Analysis. 5207-5215
Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung:
Robust Anomaly Detection in Videos Using Multilevel Representations. 5216-5223
Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen:
CAMO: A Collaborative Ranking Method for Content Based Recommendation. 5224-5231
Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang:
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details. 5232-5239
Hanmo Wang, Runwu Zhou, Yi-Dong Shen:
Bounding Uncertainty for Active Batch Selection. 5240-5247
Haoyu Wang, Nan Shao, Defu Lian:
Adversarial Binary Collaborative Filtering for Implicit Feedback. 5248-5255
Jing Wang, Xin Geng:
Theoretical Analysis of Label Distribution Learning. 5256-5263
Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi:
Orderly Subspace Clustering. 5264-5272
Jingyuan Wang, Kai Feng, Junjie Wu:
SVM-Based Deep Stacking Networks. 5273-5280
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. 5281-5288
Shaoqi Wang, Aidi Pi, Xiaobo Zhou:
Scalable Distributed DL Training: Batching Communication and Computation. 5289-5296
Shipeng Wang, Jian Sun, Zongben Xu:
HyperAdam: A Learnable Task-Adaptive Adam for Network Training. 5297-5304
Shusen Wang:
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression. 5305-5312
Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang:
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. 5313-5320
Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi:
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection. 5321-5328
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. 5329-5336
Xiao Wang, Yiding Zhang, Chuan Shi:
Hyperbolic Heterogeneous Information Network Embedding. 5337-5344
Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang:
Transferable Attention for Domain Adaptation. 5345-5352
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. 5353-5360
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson:
Deep Metric Learning by Online Soft Mining and Class-Aware Attention. 5361-5368
Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin:
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. 5369-5376
Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. 5377-5384
Tong Wei, Yu-Feng Li:
Learning Compact Model for Large-Scale Multi-Label Data. 5385-5392
Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu:
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. 5393-5400
Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan:
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation. 5401-5408
Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. 5409-5416
Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper:
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation. 5417-5424
Jacob Whitehill:
How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? 5425-5432
Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai:
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. 5433-5440
Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas:
Point Cloud Processing via Recurrent Set Encoding. 5441-5449
Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong:
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. 5450-5457
Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. 5458-5465
Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin:
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. 5466-5473
Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng:
Bayesian Deep Collaborative Matrix Factorization. 5474-5481
Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang:
RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace. 5482-5489
Hong Xie, Yongkun Li, John C. S. Lui:
Understanding Persuasion Cascades in Online Product Rating Systems. 5490-5497
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Learning Dynamic Generator Model by Alternating Back-Propagation through Time. 5498-5507
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo:
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. 5508-5515
Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan:
SpHMC: Spectral Hamiltonian Monte Carlo. 5516-5524
Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu:
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. 5525-5532
Changdong Xu, Xin Geng:
Hierarchical Classification Based on Label Distribution Learning. 5533-5540
Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang:
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data. 5541-5548
Liyuan Xu, Junya Honda, Masashi Sugiyama:
Dueling Bandits with Qualitative Feedback. 5549-5556
Ning Xu, Jiaqi Lv, Xin Geng:
Partial Label Learning via Label Enhancement. 5557-5564
Ting-Bing Xu, Cheng-Lin Liu:
Data-Distortion Guided Self-Distillation for Deep Neural Networks. 5565-5572
Yao Xu, Xueshuang Xiang, Meiyu Huang:
Task-Driven Common Representation Learning via Bridge Neural Network. 5573-5580
Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang:
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation. 5581-5588
Yanbing Xue, Milos Hauskrecht:
Active Learning of Multi-Class Classification Models from Ordered Class Sets. 5589-5596
Bo Yan, Chuming Lin, Weimin Tan:
Frame and Feature-Context Video Super-Resolution. 5597-5604
Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu:
Oversampling for Imbalanced Data via Optimal Transport. 5605-5612
Baoyao Yang, Pong C. Yuen:
Cross-Domain Visual Representations via Unsupervised Graph Alignment. 5613-5620
Bin-Bin Yang, Song-Qing Shen, Wei Gao:
Weighted Oblique Decision Trees. 5621-5627
Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille:
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students. 5628-5635
Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao:
Confidence Weighted Multitask Learning. 5636-5643
Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu:
Unsupervised Fake News Detection on Social Media: A Generative Approach. 5644-5651
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang:
Deep Robust Unsupervised Multi-Modal Network. 5652-5659
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Learning Personalized Attribute Preference via Multi-Task AUC Optimization. 5660-5667
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li:
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. 5668-5675
Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. 5676-5683
Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. 5684-5692
Hao Yu, Sen Yang, Shenghuo Zhu:
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning. 5693-5700
Joonsang Yu, Sungbum Kang, Kiyoung Choi:
Network Recasting: A Universal Method for Network Architecture Transformation. 5701-5708
Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang:
Multi-Order Attentive Ranking Model for Sequential Recommendation. 5709-5716
Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji:
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods. 5717-5724
Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost:
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition. 5725-5732
Chen Zhang, Steven C. H. Hoi:
Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach. 5733-5740
Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi:
Active Mini-Batch Sampling Using Repulsive Point Processes. 5741-5748
Hanrui Zhang:
Learning Set Functions with Limited Complementarity. 5749-5756
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh:
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. 5757-5764
Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu:
A Powerful Global Test Statistic for Functional Statistical Inference. 5765-5772
Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen:
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. 5773-5780
Qi Zhang, Richard Lewis, Satinder Singh, Edmund H. Durfee:
Learning to Communicate and Solve Visual Blocks-World Tasks. 5781-5788
Shangtong Zhang, Hengshuai Yao:
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search. 5789-5796
Shangtong Zhang, Hengshuai Yao:
QUOTA: The Quantile Option Architecture for Reinforcement Learning. 5797-5804
Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu:
Hashtag Recommendation for Photo Sharing Services. 5805-5812
Yan-Ya Zhang, Ming Li:
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector. 5813-5820
Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang:
CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features. 5821-5828
Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay:
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. 5829-5836
Yu Zhang, Lei Han:
Learning (from) Deep Hierarchical Structure among Features. 5837-5844
Yudong Zhang, Wenhao Zheng, Ming Li:
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially. 5845-5852
Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang:
SADIH: Semantic-Aware DIscrete Hashing. 5853-5860
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Submodular Optimization over Streams with Inhomogeneous Decays. 5861-5868
Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen:
The Adversarial Attack and Detection under the Fisher Information Metric. 5869-5876
Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. 5877-5884
Shengjia Zhao, Jiaming Song, Stefano Ermon:
InfoVAE: Balancing Learning and Inference in Variational Autoencoders. 5885-5892
Yang Zhao, Jianyi Zhang, Changyou Chen:
Self-Adversarially Learned Bayesian Sampling. 5893-5900
Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Biomedical Image Segmentation via Representative Annotation. 5901-5908
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. 5909-5916
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang:
Understanding VAEs in Fisher-Shannon Plane. 5917-5924
Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu:
Capacity Control of ReLU Neural Networks by Basis-Path Norm. 5925-5932
Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye:
Self-Supervised Mixture-of-Experts by Uncertainty Estimation. 5933-5940
Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. 5941-5948
Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo:
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression. 5949-5956
Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi:
Communication-Optimal Distributed Dynamic Graph Clustering. 5957-5964
Lin Zhu, Yihong Chen, Bowen He:
A Domain Generalization Perspective on Listwise Context Modeling. 5965-5972
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo:
DAN: Deep Attention Neural Network for News Recommendation. 5973-5980
Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue:
Residual Invertible Spatio-Temporal Network for Video Super-Resolution. 5981-5988
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang:
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. 5989-5996
Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos:
Consensus Adversarial Domain Adaptation. 5997-6004
AAAI Technical Track: Multiagent Systems

Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano:
Verification of RNN-Based Neural Agent-Environment Systems. 6006-6013
Christopher Archibald, Delma Nieves-Rivera:
Bayesian Execution Skill Estimation. 6014-6021
Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli:
Consensus in Opinion Formation Processes in Fully Evolving Environments. 6022-6029
Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone:
An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information. 6030-6037
Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He:
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique. 6038-6045
Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca:
Distributed Community Detection via Metastability of the 2-Choices Dynamics. 6046-6053
Tarun Gupta, Akshat Kumar, Praveen Paruchuri:
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs. 6054-6061
Yanlin Han, Piotr J. Gmytrasiewicz:
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs. 6062-6069
Zehong Hu, Jie Zhang, Zhao Li:
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. 6070-6078
Woojun Kim, Myungsik Cho, Youngchul Sung:
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. 6079-6086
Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig:
Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding. 6087-6095
Xu Li, Mingming Sun, Ping Li:
Multi-Agent Discussion Mechanism for Natural Language Generation. 6096-6103
Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. 6104-6111
Andrei Lupu, Audrey Durand, Doina Precup:
Leveraging Observations in Bandits: Between Risks and Benefits. 6112-6119
Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha:
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents. 6120-6127
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How:
Learning to Teach in Cooperative Multiagent Reinforcement Learning. 6128-6136
Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz:
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. 6137-6145
Fernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos:
Evolution of Collective Fairness in Hybrid Populations of Humans and Agents. 6146-6153
Wen Shen, Yang Feng, Cristina V. Lopes:
Multi-Winner Contests for Strategic Diffusion in Social Networks. 6154-6162
Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum:
Theory of Minds: Understanding Behavior in Groups through Inverse Planning. 6163-6170
Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Multiagent Decision Making For Maritime Traffic Management. 6171-6178
Fu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu:
Probabilistic Alternating-Time µ-Calculus. 6179-6186
AAAI Technical Track: Natural Language Processing

Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst:
Enriching Word Embeddings with a Regressor Instead of Labeled Corpora. 6188-6195
Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit S. Dhillon:
Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization. 6196-6203
Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-Space Embeddings. 6204-6211
Reinald Kim Amplayo, Seung-won Hwang, Min Song:
AutoSense Model for Word Sense Induction. 6212-6219
Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan:
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. 6220-6227
Zied Bouraoui, Steven Schockaert:
Automated Rule Base Completion as Bayesian Concept Induction. 6228-6235
Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson:
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. 6236-6243
Jiaao Chen, Jianshu Chen, Zhou Yu:
Incorporating Structured Commonsense Knowledge in Story Completion. 6244-6251
Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang:
Deep Short Text Classification with Knowledge Powered Attention. 6252-6259
Lingzhen Chen, Alessandro Moschitti:
Transfer Learning for Sequence Labeling Using Source Model and Target Data. 6260-6267
Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. 6268-6275
Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu:
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions. 6276-6283
Pengxiang Cheng, Katrin Erk:
Implicit Argument Prediction as Reading Comprehension. 6284-6291
Raj Dabre, Atsushi Fujita:
Recurrent Stacking of Layers for Compact Neural Machine Translation Models. 6292-6299
Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang:
Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling. 6300-6308
Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass:
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. 6309-6317
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. 6318-6325
Valerio Di Carlo, Federico Bianchi, Matteo Palmonari:
Training Temporal Word Embeddings with a Compass. 6326-6334
Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu:
A Pattern-Based Approach to Recognizing Time Expressions. 6335-6342
Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia:
From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. 6343-6350
Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu:
Adapting Translation Models for Transcript Disfluency Detection. 6351-6358
Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. 6359-6366
Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si:
"Bilingual Expert" Can Find Translation Errors. 6367-6374
Chengzhen Fu, Yan Zhang:
EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion. 6375-6382
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi:
Generating Multiple Diverse Responses for Short-Text Conversation. 6383-6390
Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen:
Structured Two-Stream Attention Network for Video Question Answering. 6391-6398
Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. 6399-6406
Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun:
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. 6407-6414
Yifan Gao, Yang Zhong, Daniel Preotiuc-Pietro, Junyi Jessy Li:
Predicting and Analyzing Language Specificity in Social Media Posts. 6415-6422
Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. 6423-6430
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao:
Kernelized Hashcode Representations for Relation Extraction. 6431-6440
Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery:
MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews. 6441-6448
ChengYue Gong, Xu Tan, Di He, Tao Qin:
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. 6449-6456
Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu:
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation. 6457-6464
Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen:
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant. 6465-6472
Jian Guan, Yansen Wang, Minlie Huang:
Story Ending Generation with Incremental Encoding and Commonsense Knowledge. 6473-6480
Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang:
Long Short-Term Memory with Dynamic Skip Connections. 6481-6488
Maosheng Guo, Yu Zhang, Ting Liu:
Gaussian Transformer: A Lightweight Approach for Natural Language Inference. 6489-6496
Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti:
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models. 6497-6504
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models with Distributional Prior. 6505-6512
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas A. Runkler:
Neural Relation Extraction within and across Sentence Boundaries. 6513-6520
J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme:
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. 6521-6528
Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li:
Read + Verify: Machine Reading Comprehension with Unanswerable Questions. 6529-6537
Hengguan Huang, Hao Wang, Brian Mak:
Recurrent Poisson Process Unit for Speech Recognition. 6538-6545
Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan:
Dictionary-Guided Editing Networks for Paraphrase Generation. 6546-6553
Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan:
Unsupervised Controllable Text Formalization. 6554-6561
Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert:
Word Embedding as Maximum A Posteriori Estimation. 6562-6569
Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li:
Understanding Actors and Evaluating Personae with Gaussian Embeddings. 6570-6577
Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky:
Predicting the Argumenthood of English Prepositional Phrases. 6578-6585
Seonhoon Kim, Inho Kang, Nojun Kwak:
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information. 6586-6593
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee:
Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations. 6594-6601
Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung:
Improving Neural Question Generation Using Answer Separation. 6602-6609
Wei-Jen Ko, Greg Durrett, Junyi Jessy Li:
Domain Agnostic Real-Valued Specificity Prediction. 6610-6617
Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. 6618-6625
Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy:
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. 6626-6633
Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao:
Lattice CNNs for Matching Based Chinese Question Answering. 6634-6641
Sungjin Lee, Rahul Jha:
Zero-Shot Adaptive Transfer for Conversational Language Understanding. 6642-6649
Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu:
A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification. 6650-6657
Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller:
Dependency Grammar Induction with a Neural Variational Transition-Based Parser. 6658-6665
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. 6666-6673
Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. 6674-6681
Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Differentiated Distribution Recovery for Neural Text Generation. 6682-6689
Junjie Li, Haoran Li, Chengqing Zong:
Towards Personalized Review Summarization via User-Aware Sequence Network. 6690-6697
Juntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao, Rui Yan:
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation. 6698-6705
Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu:
Neural Speech Synthesis with Transformer Network. 6706-6713
Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. 6714-6721
Ziming Li, Julia Kiseleva, Maarten de Rijke:
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. 6722-6729
Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou:
Dependency or Span, End-to-End Uniform Semantic Role Labeling. 6730-6737
Changsheng Liu, Rebecca Hwa:
A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility. 6738-6745
Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li:
Leveraging Web Semantic Knowledge in Word Representation Learning. 6746-6753
Jian Liu, Yubo Chen, Kang Liu:
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection. 6754-6761
Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-Local Neural Networks for Sequence Learning. 6762-6769
Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang:
FANDA: A Novel Approach to Perform Follow-Up Query Analysis. 6770-6777
Tianlin Liu, Lyle Ungar, João Sedoc:
Unsupervised Post-Processing of Word Vectors via Conceptor Negation. 6778-6785
Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui:
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. 6786-6793
Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun:
Learning Personalized End-to-End Goal-Oriented Dialog. 6794-6801
Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu:
SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next. 6802-6809
Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun:
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts. 6810-6817
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria:
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. 6818-6825
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. 6826-6833
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. 6834-6842
Sebastian J. Mielke, Jason Eisner:
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. 6843-6850
Trung Minh Nguyen, Thien Huu Nguyen:
One for All: Neural Joint Modeling of Entities and Events. 6851-6858
Yixin Nie, Haonan Chen, Mohit Bansal:
Combining Fact Extraction and Verification with Neural Semantic Matching Networks. 6859-6866
Yixin Nie, Yicheng Wang, Mohit Bansal:
Analyzing Compositionality-Sensitivity of NLI Models. 6867-6874
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. 6875-6882
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim:
Paraphrase Diversification Using Counterfactual Debiasing. 6883-6891
Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos:
Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities. 6892-6899
Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Lio', Nigel Collier:
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. 6900-6907
Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-Text Generation with Content Selection and Planning. 6908-6915
Marek Rei, Anders Søgaard:
Jointly Learning to Label Sentences and Tokens. 6916-6923
Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell:
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking. 6924-6931
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. 6932-6939
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. 6940-6948
Victor Sanh, Thomas Wolf, Sebastian Ruder:
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks. 6949-6956
Vasanth Sarathy, Matthias Scheutz:
On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse. 6957-6964
Timo Schick, Hinrich Schütze:
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context. 6965-6973
Claudia Schulz, Christian M. Meyer, Iryna Gurevych:
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning. 6974-6981
Holger Schwenk, Douwe Kiela, Matthijs Douze:
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs. 6982-6990
Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
Learning to Embed Sentences Using Attentive Recursive Trees. 6991-6998
Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. 6999-7006
Zhouxing Shi, Minlie Huang:
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. 7007-7014
Farhad Bin Siddique, Dario Bertero, Pascale Fung:
GlobalTrait: Personality Alignment of Multilingual Word Embeddings. 7015-7022
Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment. 7023-7030
Behrouz Haji Soleimani, Stan Matwin:
Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns. 7031-7038
Changzhi Sun, Yuanbin Wu:
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations. 7039-7046
Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong:
Towards Sentence-Level Brain Decoding with Distributed Representations. 7047-7054
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. 7055-7062
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. 7063-7071
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang:
A Hierarchical Framework for Relation Extraction with Reinforcement Learning. 7072-7079
Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao:
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. 7080-7087
Min Tang, Jiaran Cai, Hankz Hankui Zhuo:
Multi-Matching Network for Multiple Choice Reading Comprehension. 7088-7095
Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura:
Generating Live Soccer-Match Commentary from Play Data. 7096-7103
Julien Tissier, Christophe Gravier, Amaury Habrard:
Near-Lossless Binarization of Word Embeddings. 7104-7111
Maksim Tkachenko, Hady W. Lauw:
CompareLDA: A Topic Model for Document Comparison. 7112-7119
Takuma Udagawa, Akiko Aizawa:
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context. 7120-7127
Chengyu Wang, Xiaofeng He, Aoying Zhou:
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning. 7128-7135
Haohan Wang, Da Sun, Eric P. Xing:
What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks. 7136-7143
Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen:
Template-Based Math Word Problem Solvers with Recursive Neural Networks. 7144-7151
PeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan:
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. 7152-7159
Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan:
Chinese NER with Height-Limited Constituent Parsing. 7160-7167
Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang:
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation. 7168-7175
Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge:
A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation. 7176-7183
Tianming Wang, Xiaojun Wan:
Hierarchical Attention Networks for Sentence Ordering. 7184-7191
Wenya Wang, Sinno Jialin Pan:
Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction. 7192-7199
Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si:
Unsupervised Learning Helps Supervised Neural Word Segmentation. 7200-7207
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. 7208-7215
Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency:
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors. 7216-7223
Yu Wang, Hongxia Jin:
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System. 7224-7232
Zhao Wang, Aron Culotta:
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation. 7233-7240
Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu:
Better Fine-Tuning via Instance Weighting for Text Classification. 7241-7248
Penghui Wei, Wenji Mao, Guandan Chen:
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection. 7249-7256
Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao:
Translating with Bilingual Topic Knowledge for Neural Machine Translation. 7257-7264
Robert West, Eric Horvitz:
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances". 7265-7272
Shanchan Wu, Kai Fan, Qiong Zhang:
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector. 7273-7280
Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou:
Response Generation by Context-Aware Prototype Editing. 7281-7288
Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. 7289-7296
Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi:
Graph Based Translation Memory for Neural Machine Translation. 7297-7304
Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si:
Syntax-Aware Neural Semantic Role Labeling. 7305-7313
Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding:
Adaptive Region Embedding for Text Classification. 7314-7321
Yijun Xiao, William Yang Wang:
Quantifying Uncertainties in Natural Language Processing Tasks. 7322-7329
Zhipeng Xie, Feiteng Mu:
Distributed Representation of Words in Cause and Effect Spaces. 7330-7337
Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang:
Modeling Coherence for Discourse Neural Machine Translation. 7338-7345
Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. 7346-7353
Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen:
A Deep Cascade Model for Multi-Document Reading Comprehension. 7354-7361
Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen:
Exploring Human-Like Reading Strategy for Abstractive Text Summarization. 7362-7369
Liang Yao, Chengsheng Mao, Yuan Luo:
Graph Convolutional Networks for Text Classification. 7370-7377
Lili Yao, Nanyun Peng, Ralph M. Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan:
Plan-and-Write: Towards Better Automatic Storytelling. 7378-7385
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. 7386-7393
Michihiro Yasunaga, John D. Lafferty:
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. 7394-7401
Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. 7402-7409
Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. 7410-7417
Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei:
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding. 7418-7425
JianHua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin:
Exploring Answer Stance Detection with Recurrent Conditional Attention. 7426-7433
Yunzhe Yuan, Yong Jiang, Kewei Tu:
Bidirectional Transition-Based Dependency Parsing. 7434-7441
Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie:
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. 7442-7449
Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song:
A Generalized Language Model in Tensor Space. 7450-7458
Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao:
Generating Chinese Ci with Designated Metrical Structure. 7459-7467
Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu:
A Neural Network Approach to Verb Phrase Ellipsis Resolution. 7468-7475
Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren:
Generating Character Descriptions for Automatic Summarization of Fiction. 7476-7483
Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao:
Multi-Labeled Relation Extraction with Attentive Capsule Network. 7484-7491
Peixiang Zhong, Di Wang, Chunyan Miao:
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss. 7492-7500
AAAI Technical Track: Planning, Routing, and Scheduling

Mohammad Abdulaziz:
Plan-Length Bounds: Beyond 1-Way Dependency. 7502-7510
Benjamin J. Ayton, Brian Williams, Richard Camilli:
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions. 7511-7519
Gregor Behnke, Daniel Höller, Susanne Biundo:
Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-Based HTN Planning. 7520-7529
Thiago P. Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner:
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. 7530-7537
Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi:
Robustness Envelopes for Temporal Plans. 7538-7545
Lukás Chrpa, Mauro Vallati:
Improving Domain-Independent Planning via Critical Section Macro-Operators. 7546-7553
Amanda Jane Coles, Andrew Coles, J. Christopher Beck:
Efficient Temporal Planning Using Metastates. 7554-7561
Amanda Jane Coles, Andrew Coles, Moisés Martínez, Emre Savas, Juan Manuel Delfa, Tomás de la Rosa, Yolanda E.-Martín, Angel García Olaya:
Efficiently Reasoning with Interval Constraints in Forward Search Planning. 7562-7569
Bingqian Du, Chuan Wu, Zhiyi Huang:
Learning Resource Allocation and Pricing for Cloud Profit Maximization. 7570-7577
Rebecca Eifler, Maximilian Fickert, Jörg Hoffmann, Wheeler Ruml:
Refining Abstraction Heuristics during Real-Time Planning. 7578-7585
Daniel Fiser, Álvaro Torralba, Alexander Shleyfman:
Operator Mutexes and Symmetries for Simplifying Planning Tasks. 7586-7593
Daniel Furelos-Blanco, Anders Jonsson:
Solving Multiagent Planning Problems with Concurrent Conditional Effects. 7594-7601
Daniel Gnad, Álvaro Torralba, Martín Ariel Domínguez, Carlos Areces, Facundo Bustos:
Learning How to Ground a Plan - Partial Grounding in Classical Planning. 7602-7609
León Illanes, Sheila A. McIlraith:
Generalized Planning via Abstraction: Arbitrary Numbers of Objects. 7610-7618
Michael Katz:
Red-Black Heuristics for Planning Tasks with Conditional Effects. 7619-7626
Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding for Large Agents. 7627-7634
Felix Lindner, Robert Mattmüller, Bernhard Nebel:
Moral Permissibility of Action Plans. 7635-7642
Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig:
Searching with Consistent Prioritization for Multi-Agent Path Finding. 7643-7650
Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig:
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery. 7651-7658
Sultan Javed Majeed, Marcus Hutter:
Performance Guarantees for Homomorphisms beyond Markov Decision Processes. 7659-7666
George B. Mertzios, Hendrik Molter, Viktor Zamaraev:
Sliding Window Temporal Graph Coloring. 7667-7674
Andrea Micheli, Enrico Scala:
Temporal Planning with Temporal Metric Trajectory Constraints. 7675-7682
Ronen Nir, Erez Karpas:
Automated Verification of Social Laws for Continuous Time Multi-Robot Systems. 7683-7690
Sunandita Patra, Malik Ghallab, Dana S. Nau, Paolo Traverso:
Acting and Planning Using Operational Models. 7691-7698
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Distribution-Based Semi-Supervised Learning for Activity Recognition. 7699-7706
Riccardo Rasconi, Angelo Oddi:
An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem. 7707-7714
Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber:
Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. 7715-7723
Helge Spieker, Arnaud Gotlieb, Morten Mossige:
Rotational Diversity in Multi-Cycle Assignment Problems. 7724-7731
Jirí Svancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták:
Online Multi-Agent Pathfinding. 7732-7739
AAAI Technical Track: Reasoning under Uncertainty

Nadjet Bourdache, Patrice Perny:
Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem. 7741-7748
Daniel S. Brown, Scott Niekum:
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications. 7749-7758
Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane:
Robustness Guarantees for Bayesian Inference with Gaussian Processes. 7759-7768
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Probabilistic Logic Programming with Beta-Distributed Random Variables. 7769-7776
Sourav Chakraborty, Kuldeep S. Meel:
On Testing of Uniform Samplers. 7777-7784
Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi:
On the Hardness of Probabilistic Inference Relaxations. 7785-7792
Cong Chen, Changhe Yuan:
Learning Diverse Bayesian Networks. 7793-7800
Silvia Chiappa:
Path-Specific Counterfactual Fairness. 7801-7808
Liat Cohen, Gera Weiss:
Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines. 7809-7815
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan:
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. 7816-7824
Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt:
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. 7825-7833
Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi:
Marginal Inference in Continuous Markov Random Fields Using Mixtures. 7834-7841
Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati:
A Generative Model for Dynamic Networks with Applications. 7842-7849
Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How:
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. 7850-7857
Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas L. Allaire, Ulisses Braga-Neto:
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. 7858-7865
Brendan Juba:
Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics. 7866-7875
Yasushi Kawase, Hanna Sumita:
Randomized Strategies for Robust Combinatorial Optimization. 7876-7883
Ximing Li, Jiaojiao Zhang, Jihong Ouyang:
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. 7884-7891
Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek:
Finding All Bayesian Network Structures within a Factor of Optimal. 7892-7899
Qi Lou, Rina Dechter, Alexander T. Ihler:
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms. 7900-7907
Ke Ma, Qianqian Xu, Xiaochun Cao:
Robust Ordinal Embedding from Contaminated Relative Comparisons. 7908-7915
Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal:
On Lifted Inference Using Neural Embeddings. 7916-7923
Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander T. Ihler:
Anytime Recursive Best-First Search for Bounding Marginal MAP. 7924-7932
Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Semi-Parametric Sampling for Stochastic Bandits with Many Arms. 7933-7940
Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien:
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling. 7941-7948
Silviu Pitis:
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. 7949-7956
Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi:
Structured Bayesian Networks: From Inference to Learning with Routes. 7957-7965
Andy Shih, Arthur Choi, Adnan Darwiche:
Compiling Bayesian Network Classifiers into Decision Graphs. 7966-7974
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor:
Lifted Hinge-Loss Markov Random Fields. 7975-7983
Topi Talvitie, Mikko Koivisto:
Counting and Sampling Markov Equivalent Directed Acyclic Graphs. 7984-7991
Hong Xie, Yongkun Li, John C. S. Lui:
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning. 7992-7999
AAAI Technical Track: Robotics

Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. 8001-8008
Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni:
MotionTransformer: Transferring Neural Inertial Tracking between Domains. 8009-8016
Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. 8017-8024
Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu:
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions. 8025-8033
Kai Liu, Hua Wang, Fei Han, Hao Zhang:
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration. 8034-8041
Robert Platt Jr., Colin Kohler, Marcus Gualtieri:
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies. 8042-8049
Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati:
Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP). 8050-8057
Zhi-Xuan Tan, Jake Brawer, Brian Scassellati:
That's Mine! Learning Ownership Relations and Norms for Robots. 8058-8065
Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster:
Probabilistic Model Checking of Robots Deployed in Extreme Environments. 8066-8074
AAAI Technical Track: Vision

Manoj Acharya, Kushal Kafle, Christopher Kanan:
TallyQA: Answering Complex Counting Questions. 8076-8084
Umar Asif, Jianbin Tang, Stefan Harrer:
Densely Supervised Grasp Detector (DSGD). 8085-8093
Seung-Hwan Bae:
Object Detection Based on Region Decomposition and Assembly. 8094-8101
Hedi Ben-younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. 8102-8109
Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen:
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection. 8110-8117
Yijun Cai, Haoxin Li, Jianfang Hu, Wei-Shi Zheng:
Action Knowledge Transfer for Action Prediction with Partial Videos. 8118-8125
Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. 8126-8133
Binghui Chen, Weihong Deng:
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering. 8134-8141
Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju:
Improving Image Captioning with Conditional Generative Adversarial Nets. 8142-8150
Cheng-Kuan Chen, Zhu Feng Pan, Ming-Yu Liu, Min Sun:
Unsupervised Stylish Image Description Generation via Domain Layer Norm. 8151-8158
Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu:
Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects. 8159-8166
Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei:
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. 8167-8174
Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo:
Localizing Natural Language in Videos. 8175-8182
Junjie Chen, William K. Cheung:
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval. 8183-8190
Shaoxiang Chen, Yu-Gang Jiang:
Motion Guided Spatial Attention for Video Captioning. 8191-8198
Shaoxiang Chen, Yu-Gang Jiang:
Semantic Proposal for Activity Localization in Videos via Sentence Query. 8199-8206
Shizhe Chen, Qin Jin, Alexander G. Hauptmann:
Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data. 8207-8214
Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang:
Learning Resolution-Invariant Deep Representations for Person Re-Identification. 8215-8222
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-Tuning. 8223-8230
Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Selective Refinement Network for High Performance Face Detection. 8231-8238
Zhongying Deng, Xiaojiang Peng, Yu Qiao:
Residual Compensation Networks for Heterogeneous Face Recognition. 8239-8246
Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan:
Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition. 8247-8254
Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang:
Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System. 8255-8262
Hehe Fan, Linchao Zhu, Yi Yang:
Cubic LSTMs for Video Prediction. 8263-8270
Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan:
Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention. 8271-8278
Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao:
MeshNet: Mesh Neural Network for 3D Shape Representation. 8279-8286
Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang:
STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification. 8287-8294
Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang:
Horizontal Pyramid Matching for Person Re-Identification. 8295-8302
Junyu Gao, Tianzhu Zhang, Changsheng Xu:
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs. 8303-8311
Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen:
Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis. 8312-8319
Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen:
Deliberate Attention Networks for Image Captioning. 8320-8327
Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos. 8328-8335
Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan:
No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking. 8336-8343
Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. 8344-8351
Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang:
Human Action Transfer Based on 3D Model Reconstruction. 8352-8359
Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai:
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. 8360-8367
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. 8368-8375
Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker:
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. 8376-8384
Yi Hao, Nannan Wang, Jie Li, Xinbo Gao:
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification. 8385-8392
Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen:
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos. 8393-8400
Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen:
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition. 8401-8408
Tong He, Stefano Soatto:
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. 8409-8416
Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu:
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. 8417-8424
Saihui Hou, Zilei Wang:
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network. 8425-8432
Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy:
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks. 8433-8440
Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek:
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. 8441-8448
Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem:
A Novel Framework for Robustness Analysis of Visual QA Models. 8449-8456
Jianglei Huang, Wengang Zhou:
Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking. 8457-8464
Qiuyuan Huang, Zhe Gan, Asli Çelikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He:
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation. 8465-8472
Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang:
A Framework to Coordinate Segmentation and Recognition. 8473-8480
Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu:
3D Volumetric Modeling with Introspective Neural Networks. 8481-8488
Yan Huang, Yang Long, Liang Wang:
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding. 8489-8496
Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han:
Attentive Temporal Pyramid Network for Dynamic Scene Classification. 8497-8504
Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao:
DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval. 8505-8512
Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao:
MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval. 8513-8520
Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang:
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method. 8521-8528
Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan:
Video Object Detection with Locally-Weighted Deformable Neighbors. 8529-8536
Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon:
Discriminative Feature Learning for Unsupervised Video Summarization. 8537-8544
Dahun Kim, Donghyeon Cho, In So Kweon:
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. 8545-8552
Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu:
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. 8553-8560
Bin Li, Xi Li, Zhongfei Zhang, Fei Wu:
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition. 8561-8568
Bo Li, Zhengxing Sun, Yuqi Guo:
SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection. 8569-8576
Buyu Li, Yu Liu, Xiaogang Wang:
Gradient Harmonized Single-Stage Detector. 8577-8584
Chenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang:
Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module. 8585-8593
Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin:
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. 8594-8601
Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot:
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. 8602-8609
Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang:
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. 8610-8617
Jianing Li, Shiliang Zhang, Tiejun Huang:
Multi-Scale 3D Convolution Network for Video Based Person Re-Identification. 8618-8625
Nannan Li, Zhenzhong Chen, Shan Liu:
Meta Learning for Image Captioning. 8626-8633
Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang:
Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition. 8634-8641
Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo:
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. 8642-8649
Xiangyang Li, Shuqiang Jiang, Jungong Han:
Learning Object Context for Dense Captioning. 8650-8657
Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan:
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering. 8658-8665
Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu:
Robust Estimation of Similarity Transformation for Visual Object Tracking. 8666-8673
Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu:
Temporal Bilinear Networks for Video Action Recognition. 8674-8681
Zhaoqun Li, Cheng Xu, Biao Leng:
Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval. 8682-8689
Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, Huaxiang Zhang:
Zero-Shot Object Detection with Textual Descriptions. 8690-8697
Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou:
PCGAN: Partition-Controlled Human Image Generation. 8698-8705
Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song:
Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize. 8706-8713
Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai:
Scene Text Recognition from Two-Dimensional Perspective. 8714-8721
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu:
Towards Optimal Discrete Online Hashing with Balanced Similarity. 8722-8729
Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang:
Hypergraph Optimization for Multi-Structural Geometric Model Fitting. 8730-8737
Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang:
A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification. 8738-8745
Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji:
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. 8746-8753
Ji Liu, Lei Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. 8754-8761
Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu:
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos. 8762-8769
Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. 8770-8777
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. 8778-8785
Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li:
Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification. 8786-8793
Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang:
Deep Video Frame Interpolation Using Cyclic Frame Generation. 8794-8802
Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng:
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking. 8803-8810
Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu:
Recognizing Unseen Attribute-Object Pair with Generative Model. 8811-8818
Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu:
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. 8819-8826
Guozhu Peng, Shangfei Wang:
Dual Semi-Supervised Learning for Facial Action Unit Recognition. 8827-8834
Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang:
Learning Attribute-Specific Representations for Visual Tracking. 8835-8842
Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas S. Huang:
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning. 8843-8850
Zengyi Qin, Jinglu Wang, Yan Lu:
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization. 8851-8858
Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification. 8859-8867
Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu:
Almost Unsupervised Learning for Dense Crowd Counting. 8868-8875
Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar:
KVQA: Knowledge-Aware Visual Question Answering. 8876-8884
Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen:
Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. 8885-8892
Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen:
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos. 8893-8900
Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu:
A Layer-Based Sequential Framework for Scene Generation with GANs. 8901-8908
Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang:
Hierarchical Photo-Scene Encoder for Album Storytelling. 8909-8916
Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie:
Robust Deep Co-Saliency Detection with Group Semantic. 8917-8924
Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng:
Learning Basis Representation to Refine 3D Human Pose Estimations. 8925-8932
Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie:
Spatial-Temporal Person Re-Identification. 8933-8940
Hanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong:
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding. 8941-8948
Jinglu Wang, Bo Sun, Yan Lu:
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image. 8949-8956
Weixuan Wang, Zhihong Chen, Haifeng Hu:
Hierarchical Attention Network for Image Captioning. 8957-8964
Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang:
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning. 8965-8972
Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su:
Sparse Adversarial Perturbations for Videos. 8973-8980
Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu:
Learning Non-Uniform Hypergraph for Multi-Object Tracking. 8981-8988
Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia:
Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition. 8989-8996
Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li:
Differential Networks for Visual Question Answering. 8997-9004
Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun:
Disentangled Variational Representation for Heterogeneous Face Recognition. 9005-9012
Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su:
Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature. 9013-9020
Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan:
What and Where the Themes Dominate in Image. 9021-9029
De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao:
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification. 9030-9037
Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li:
Scene Text Detection with Supervised Pyramid Context Network. 9038-9045
Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie:
DeRPN: Taking a Further Step toward More General Object Detection. 9046-9053
Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li:
Residual Attribute Attention Network for Face Image Super-Resolution. 9054-9061
Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko:
Multilevel Language and Vision Integration for Text-to-Clip Retrieval. 9062-9069
Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu:
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. 9070-9078
Shipeng Yan, Songyang Zhang, Xuming He:
A Dual Attention Network with Semantic Embedding for Few-Shot Learning. 9079-9086
Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh:
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing. 9087-9094
Lingxiao Yang, David Zhang, Lei Zhang:
Learning a Visual Tracker from a Single Movie without Annotation. 9095-9102
Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun:
Safeguarded Dynamic Label Regression for Noisy Supervision. 9103-9110
Weidong Yin, Ziwei Liu, Chen Change Loy:
Instance-Level Facial Attributes Transfer with Geometry-Aware Flow. 9111-9118
Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao:
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition. 9119-9126
Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao:
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering. 9127-9134
Jinyang Yuan, Bin Li, Xiangyang Xue:
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping. 9135-9142
Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng:
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization. 9143-9150
Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. 9151-9158
Yitian Yuan, Tao Mei, Wenwu Zhu:
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression. 9159-9166
Yuan Yuan, Dong Wang, Qi Wang:
Memory-Augmented Temporal Dynamic Learning for Action Recognition. 9167-9175
Yuan Yuan, Zhitong Xiong, Qi Wang:
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition. 9176-9184
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny:
Large-Scale Visual Relationship Understanding. 9185-9194
Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang:
Multi-Attribute Transfer via Disentangled Representation. 9195-9202
Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li:
Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse. 9203-9210
Xiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu:
Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese. 9211-9218
Xiaopeng Zhang, Yang Yang, Jiashi Feng:
Learning to Localize Objects with Noisy Labeled Instances. 9219-9226
Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan:
Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision. 9227-9234
Yaqing Zhang, Xi Li, Zhongfei Zhang:
Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification. 9235-9242
Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu:
Learning Incremental Triplet Margin for Person Re-Identification. 9243-9250
Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. 9251-9258
Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling:
M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network. 9259-9266
Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang:
3D Object Detection Using Scale Invariant and Feature Reweighting Networks. 9267-9274
Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan:
Recurrent Attention Model for Pedestrian Attribute Recognition. 9275-9282
Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan:
Learning Fully Dense Neural Networks for Image Semantic Segmentation. 9283-9290
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang:
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. 9291-9298
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang:
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. 9299-9306
Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess:
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. 9307-9315
Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun:
Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning. 9316-9323
Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen:
Dynamic Capsule Attention for Visual Question Answering. 9324-9331
Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim:
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. 9332-9339
Yun-Zhi Zhuge, Yu Zeng, Huchuan Lu:
Deep Embedding Features for Salient Object Detection. 9340-9347
Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann:
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. 9348-9355
IAAI Technical Papers: Deployed Papers

Joshua Eckroth, Eric Schoen:
A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI's AI-Alert. 9357-9364
Christopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang:
Large Scale Personalized Categorization of Financial Transactions. 9365-9372
Marc Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears Merritt:
Transforming Underwriting in the Life Insurance Industry. 9373-9380
Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara:
Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI. 9381-9388
Rohit Takhar, Varun Aggarwal:
Grading Uncompilable Programs. 9389-9396
IAAI Technical Papers: Emerging Papers

Aaron Adler, Peter Samouelian, Michael Atighetchi, Yat Fu:
Remote Management of Boundary Protection Devices with Information Restrictions. 9398-9403
José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, Joel Mathew:
Linking Educational Resources on Data Science. 9404-9409
Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji:
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling. 9410-9415
Sebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger:
Querying NoSQL with Deep Learning to Answer Natural Language Questions. 9416-9421
Joseph Bockhorst, Devin Conathan, Glenn M. Fung:
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces. 9422-9427
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection Using Autoencoders in High Performance Computing Systems. 9428-9433
Anna Paola Carrieri, Will P. M. Rowe, Martyn D. Winn, Edward O. Pyzer-Knapp:
A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes. 9434-9439
Srija Chakraborty, Subhasish Das, Ayan Banerjee, Sandeep K. S. Gupta, Philip R. Christensen:
Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters. 9440-9445
Amir Elmishali, Roni Stern, Meir Kalech:
DeBGUer: A Tool for Bug Prediction and Diagnosis. 9446-9451
Natalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon:
Satellite Detection of Moving Vessels in Marine Environments. 9452-9459
Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan:
Automatic Generation of Chinese Short Product Titles for Mobile Display. 9460-9465
Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park:
Logistic Regression on Homomorphic Encrypted Data at Scale. 9466-9471
Ramin M. Hasani, Guodong Wang, Radu Grosu:
A Machine Learning Suite for Machine Components' Health-Monitoring. 9472-9477
Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru:
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. 9478-9483
Hannah R. Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, Chiman Kwan, Heni Ben Amor:
Novelty Detection for Multispectral Images with Application to Planetary Exploration. 9484-9491
Saiprasad Koturwar, Soma Shiraishi, Kota Iwamoto:
Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation. 9492-9497
Abhinav Kumar, Aishwarya Gupta, Bishal Santra, K. S. Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh:
VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System. 9498-9503
Ugur Kuter, Brian Kettler, Katherine Guo, Martin O. Hofmann, Valerie Champagne, Kurt Lachevet, Jennifer Lautenschlager, Robert P. Goldman, Luis Asencios, Josh Hamell:
Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling. 9504-9509
Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu:
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. 9510-9515
Zhan Wei Lim, Mong-Li Lee, Wynne Hsu, Tien Yin Wong:
Building Trust in Deep Learning System towards Automated Disease Detection. 9516-9521
Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K. L. Wong:
Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age. 9522-9527
Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor:
Bootstrapping Conversational Agents with Weak Supervision. 9528-9533
Stéphane Martin, Boi Faltings, Vincent Schickel:
Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation. 9534-9540
Nicholas McCarthy, Mohammad Karzand, Freddy Lécué:
Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines. 9541-9546
Shekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie:
Tagging Address Queries in Maps Search. 9547-9551
Srikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J:
Identifying Semantics in Clinical Reports Using Neural Machine Translation. 9552-9557
Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley:
Artificial Counselor System for Stock Investment. 9558-9564
Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky:
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications. 9565-9572
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora:
Discovering Temporal Patterns from Insurance Interaction Data. 9573-9580
Xin Qiu, Risto Miikkulainen:
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. 9581-9588
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan:
Inferring Concept Prerequisite Relations from Online Educational Resources. 9589-9594
Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth:
Forecasting Intra-Hour Imbalances in Electric Power Systems. 9595-9600
Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles:
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. 9601-9606
Lijing Wang, Jiangzhuo Chen, Madhav Marathe:
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. 9607-9612
Ming-Che Wu, Mei-Chen Yeh:
Early Detection of Vacant Parking Spaces Using Dashcam Videos. 9613-9618
Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana:
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. 9619-9625
EAAI Symposium Papers: Technical Papers

Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson, Steven Bogaerts, Chad Byers:
Determining Solvability in the Birds of a Feather Card Game. 9627-9634
Trevor Bihl, Todd Jenkins, Chadwick Cox, Ashley DeMange, Kerry Hill, Edmund Zelnio:
From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem. 9635-9643
Eric Eaton:
A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management. 9644-9647
Richard Hoshino, Max Notarangelo:
Computational Intractability and Solvability for the Birds of a Feather Game. 9648-9655
Bryon Kucharski, Azad Deihim, Mehmet Ergezer:
Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game. 9656-9661
Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Get IT Scored Using AutoSAS - An Automated System for Scoring Short Answers. 9662-9669
Pat Langley:
An Integrative Framework for Artificial Intelligence Education. 9670-9677
Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia:
Concept Extraction and Prerequisite Relation Learning from Educational Data. 9678-9685
Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik:
Efficient Solving of Birds of a Feather Puzzles. 9686-9692
Todd W. Neller, Daniel Ziegler:
Computer Generation of Birds of a Feather Puzzles. 9693-9699
Christian Roberson, Katarina Sperduto:
A Monte Carlo Tree Search Player for Birds of a Feather Solitaire. 9700-9705
Benjamin Sang, Sejong Yoon:
A Neural Network Approach for Birds of a Feather Solvability Prediction. 9706-9712
Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey, Mohit Jain:
Automatic Generation of Leveled Visual Assessments for Young Learners. 9713-9720
Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne Ward:
Automating Analysis and Feedback to Improve Mathematics Teachers' Classroom Discourse. 9721-9728
Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal:
PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education. 9729-9736
Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen:
A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming. 9737-9744
EAAI Symposium Papers: Poster Papers

Andrea Danyluk, Scott Buck:
Artificial Intelligence Competencies for Data Science Undergraduate Curricula. 9746-9747
Richard Hoshino, Maximilian Kahn:
Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game. 9748-9749
EAAI Symposium Papers: Model AI Assignments

Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist:
Model AI Assignments 2019. 9751-9753
Senior Member Presentation Track Papers: Blue Sky Papers

Vincent Conitzer:
Designing Preferences, Beliefs, and Identities for Artificial Intelligence. 9755-9759
Ian Davidson, Peter B. Walker:
Towards Fluid Machine Intelligence: Can We Make a Gifted AI? 9760-9764
Eugene C. Freuder:
Relating the Structure of a Problem and Its Explanation. 9765-9769
David Harel, Assaf Marron, Ariel Rosenfeld, Moshe Y. Vardi, Gera Weiss:
Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea). 9770-9774
Pat Langley:
Explainable, Normative, and Justified Agency. 9775-9779
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini:
Meaningful Explanations of Black Box AI Decision Systems. 9780-9784
Francesca Rossi, Nicholas Mattei:
Building Ethically Bounded AI. 9785-9789
Barry Smyth:
Recommender Systems: A Healthy Obsession. 9790-9794
David S. Touretzky, Christina Gardner-McCune, Fred Martin, Deborah W. Seehorn:
Envisioning AI for K-12: What Should Every Child Know about AI? 9795-9799
Senior Member Presentation Track Papers: Summary Talks

Terrance E. Boult, Steve Cruz, Akshay Raj Dhamija, Manuel Günther, James Henrydoss, Walter J. Scheirer:
Learning and the Unknown: Surveying Steps toward Open World Recognition. 9801-9807
Peter Flach:
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward. 9808-9814
Hui Lin, Vincent Ng:
Abstractive Summarization: A Survey of the State of the Art. 9815-9822
Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder:
Is Everything Going According to Plan? Expectations in Goal Reasoning Agents. 9823-9829
Jörg Rothe:
Borda Count in Collective Decision Making: A Summary of Recent Results. 9830-9836
Victor S. Sheng, Jing Zhang:
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. 9837-9843
Demonstration Track Abstracts

David Allen, Rahul R. Divekar, Jaimie Drozdal, Lilit Balagyozyan, Shuyue Zheng, Ziyi Song, Huang Zou, Jeramey Tyler, Xiangyang Mou, Rui Zhao, Helen Zhou, Jianling Yue, Jeffrey O. Kephart, Hui Su:
The Rensselaer Mandarin Project - A Cognitive and Immersive Language Learning Environment. 9845-9846
Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov:
Proppy: A System to Unmask Propaganda in Online News. 9847-9848
Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras:
MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents. 9849-9850
Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James R. Glass:
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. 9851-9852
Chi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng Tsai, Chuan-Ju Wang:
FRIDAYS: A Financial Risk Information Detecting and Analyzing System. 9853-9854
Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang:
Academic Reader: An Interactive Question Answering System on Academic Literatures. 9855-9856
Zhuoxuan Jiang, Jie Ma, Jingyi Lu, GuangYuan Yu, Yipeng Yu, Shaochun Li:
A General Planning-Based Framework for Goal-Driven Conversation Assistant. 9857-9858
Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto:
Scientific Article Search System Based on Discourse Facet Representation. 9859-9860
Gyeongbok Lee, Sungdong Kim, Seung-won Hwang:
QADiver: Interactive Framework for Diagnosing QA Models. 9861-9862
Daniel Leidner, Peter Schmaus, Florian Schmidt, Benedikt Pleintinger, Ralph Bayer, Adrian S. Bauer, Thomas Krüger, Neal Y. Lii:
Global Remote Operation of Intelligent Space Robot Assistants. 9863-9864
Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca Maria Gambardella:
Realtime Generation of Audible Textures Inspired by a Video Stream. 9865-9866
Sadegh Nobari:
DBA: Dynamic Multi-Armed Bandit Algorithm. 9869-9870
Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay:
Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search. 9871-9872
Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang:
K3S: Knowledge-Driven Solution Support System. 9873-9874
Doctoral Consortium Track Abstracts

David Abel:
A Theory of State Abstraction for Reinforcement Learning. 9876-9877
Nikhil Bhargava:
Multi-Agent Coordination under Uncertain Communication. 9878-9879
Christopher K. Fourie:
Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks. 9880-9881
Rick Goldstein:
Expressive Real-Time Intersection Scheduling. 9882-9883
Ana Valeria González-Garduño:
Reinforcement Learning for Improved Low Resource Dialogue Generation. 9884-9885
Negar Hassanpour:
Counterfactual Reasoning in Observational Studies. 9886-9887
Emmanuel Johnson:
Using Automated Agents to Teach Negotiation. 9888-9889
Khimya Khetarpal:
Learning Generalized Temporal Abstractions across Both Action and Perception. 9890-9891
Neeti Pokhriyal:
Multi-View Learning from Disparate Sources for Poverty Mapping. 9892-9893
Sathya N. Ravi:
Numerical Optimization to AI, and Back. 9894-9895
Sandhya Saisubramanian:
Adaptive Modeling for Risk-Aware Decision Making. 9896-9897
Atena M. Tabakhi:
Parameterized Heuristics for Incomplete Weighted CSPs. 9898-9899
Faraz Torabi:
Imitation Learning from Observation. 9900-9901
Abhinav Verma:
Verifiable and Interpretable Reinforcement Learning through Program Synthesis. 9902-9903
Christabel Wayllace:
Stochastic Goal Recognition Design. 9904-9905
Ruohan Zhang:
Attention Guided Imitation Learning and Reinforcement Learning. 9906-9907
Student Abstracts

Prince M. Abudu:
CommNets: Communicating Neural Network Architectures for Resource Constrained Systems. 9909-9910
Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini:
Identifying Android Malware Using Network-Based Approaches. 9911-9912
Wenjun Bai, Changqin Quan, Zhi-Wei Luo:
Learning Flexible Latent Representations via Encapsulated Variational Encoders. 9913-9914
Diana Benavides Prado:
An SVM-Based Framework for Long-Term Learning Systems. 9915-9916
Theodora Bendlin, Hadi Hosseini:
Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice. 9917-9918
Umang Bhatt, Pradeep Ravikumar, José M. F. Moura:
Building Human-Machine Trust via Interpretability. 9919-9920
Arpita Biswas, Siddharth Barman:
Matroid Constrained Fair Allocation Problem. 9921-9922
Narayan Changder, Samir Aknine, Animesh Dutta:
An Imperfect Algorithm for Coalition Structure Generation. 9923-9924
Qiwei Chen, Cheng Wu, Yiming Wang:
Robust Principal Component Analysis-Based Infrared Small Target Detection. 9925-9926
Sixuan Chen, Shuai Yu:
WAIS: Word Attention for Joint Intent Detection and Slot Filling. 9927-9928
Yifeng Chen, Cheng Wu, Yiming Wang:
T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition. 9929-9930
Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu:
Type Sequence Preserving Heterogeneous Information Network Embedding. 9931-9932
Ameer Dharamshi, Rosie Yuyan Zou:
CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification. 9933-9934
Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen:
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset. 9935-9936
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram:
A Meta-Learning Approach for Custom Model Training. 9937-9938
Víctor Gallego, Roi Naveiro, David Ríos Insua:
Reinforcement Learning under Threats. 9939-9940
Mononito Goswami, Shiven Mian, Jack Mostow:
What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System. 9941-9942
Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui:
WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks. 9943-9944
Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Higher-Order Multi-Layer Community Detection. 9945-9946
Sein Jang, Young-Ho Park, Aziz Nasridinov:
AVS-Net: Automatic Visual Surveillance Using Relation Network. 9947-9948
Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho:
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System. 9949-9950
Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages. 9951-9952
Kherroubi Zine el Abidine, Samir Aknine, Bacha Rebiha:
A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles. 9953-9954
Khimya Khetarpal, Doina Precup:
Learning Options with Interest Functions. 9955-9956
Igor Kiselev:
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy. 9957-9958
In-Seok Lee, Jun-Geol Baek:
SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart. 9959-9960
Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe:
Comparing Sample-Wise Learnability across Deep Neural Network Models. 9961-9962
Haoran Li, Hua Xu:
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM. 9963-9964
Lile Li, Quan Do, Wei Liu:
Cross-Domain Recommendation via Coupled Factorization Machines. 9965-9966
Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi:
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process. 9967-9968
Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han:
A Fuzzy Set Based Approach for Rating Bias. 9969-9970
Yanran Li, Wenjie Li:
Meta-Path Augmented Response Generation. 9971-9972
Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Teaching Machines to Extract Main Content for Machine Reading Comprehension. 9973-9974
Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao:
Location-Based End-to-End Speech Recognition with Multiple Language Models. 9975-9976
Shengchao Liu, Yingyu Liang, Anthony Gitter:
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. 9977-9978
Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang:
Deep Reinforcement Learning via Past-Success Directed Exploration. 9979-9980
Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin:
Jointly Multiple Hash Learning. 9981-9982
Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. 9983-9984
Jianjie Lu, Kai-yu Tong:
Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach. 9985-9986
Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel:
A Multi-Task Learning Framework for Abstractive Text Summarization. 9987-9988
Yingjing Lu:
The Level Weighted Structural Similarity Loss: A Step Away from MSE. 9989-9990
Anna Lukina:
Adaptive Optimization Framework for Control of Multi-Agent Systems. 9991-9992
Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai:
Learning Document Embeddings with Crossword Prediction. 9993-9994
Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon:
Logic-Based Sequential Decision-Making. 9995-9996
Gaku Morio, Katsuhide Fujita:
On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components. 9997-9998
Daniel Muller:
Frontier Search and Plan Reconstruction in Oversubscription Planning. 9999-10000
Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin:
An Improved Hierarchical Datastructure for Nearest Neighbor Search. 10001-10002
Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. 10003-10004
So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park:
A Feasibility Test on Preventing PRMDs Based on Deep Learning. 10005-10006
Rey Pocius, Lawrence Neal, Alan Fern:
Strategic Tasks for Explainable Reinforcement Learning. 10007-10008
Jacob Rafati, David C. Noelle:
Learning Representations in Model-Free Hierarchical Reinforcement Learning. 10009-10010
Jinfu Ren, Yang Liu, Jiming Liu:
EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning. 10011-10012
Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus:
Emergency Department Online Patient-Caregiver Scheduling. 10013-10014
Gaetano Rossiello, Alfio Gliozzo, Michael Glass:
Learning to Transfer Relational Representations through Analogy. 10015-10016
Eitan Rothberg, Tingting Chen, Hao Ji:
Towards Better Accuracy and Robustness with Localized Adversarial Training. 10017-10018
Pramit Saha, Sidney S. Fels:
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG. 10019-10020
Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh:
Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks. 10021-10022
Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar, Rajiv Ratn Shah, Rohit Jain, Roger Zimmermann:
Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading. 10023-10024
Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua:
A Whole New Ball Game: Harvesting Game Data for Player Profiling. 10025-10026
Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. 10027-10028
Eitan Sapiro-Gheiler:
Examining Political Trustworthiness through Text-Based Measures of Ideology. 10029-10030
Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan:
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? 10031-10032
Abhishek Singh, Debojyoti Dutta, Amit Saha:
MIGAN: Malware Image Synthesis Using GANs. 10033-10034
Kacper Sokol, Peter A. Flach:
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals. 10035-10036
Helge Spieker:
Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search. 10037-10038
Shirly Stephen, Torsten Hahmann:
Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets. 10039-10040
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng:
An Adaptive Framework for Conversational Question Answering. 10041-10042
Jiankai Sun, Srinivasan Parthasarathy:
Symmetrization for Embedding Directed Graphs. 10043-10044
Atena M. Tabakhi:
Parameterized Heuristics for Incomplete Weighted CSPs. 10045-10046
Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara:
Semi-Supervised Learning for Electron Microscopy Image Segmentation. 10047-10048
Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang:
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. 10049-10050
Prayag Tiwari, Massimo Melucci:
Binary Classifier Inspired by Quantum Theory. 10051-10052
Manan Tomar, Akhil Sathuluri, Balaraman Ravindran:
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. 10053-10054
Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng:
Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression. 10055-10056
Ashwini Tonge, Cornelia Caragea:
Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction. 10057-10058
Ziyu Wan, Yan Li, Min Yang, Junge Zhang:
Transductive Zero-Shot Learning via Visual Center Adaptation. 10059-10060
Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang:
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks. 10061-10062
Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink:
Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter. 10063-10064
Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan:
DSINE: Deep Structural Influence Learning via Network Embedding. 10065-10066
Jingyun Xu, Yi Cai:
Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification. 10067-10068
Hansheng Xue, Jiajie Peng, Xuequn Shang:
Towards Gene Function Prediction via Multi-Networks Representation Learning. 10069-10070
Lingkai Yang, Yi-Nan Guo, Jian Cheng:
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning. 10071-10072
Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang:
APRP: An Anonymous Propagation Method in Bitcoin Network. 10073-10074
Salah Zaiem, Fatiha Sadat:
Sequence to Sequence Learning for Query Expansion. 10075-10076
Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. 10077-10078
Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin:
Computing Argumentative Explanations in Bipolar Argumentation Frameworks. 10079-10080
Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang:
Geometric Multi-Model Fitting by Deep Reinforcement Learning. 10081-10082
Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie:
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis. 10083-10084
Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang:
Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise. 10085-10086
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho:
Classifier-Agnostic Saliency Map Extraction. 10087-10088



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